JP2003093620A - Probability generator - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a probability generator equipped with more improved security and game property and high gamble property. SOLUTION: The probability generator 1 is provided with a memory part 10, a parallel random number generating part 30, an oscillating waveform generating part 40, a fall generating part 50, a synthesizing part 60 and a probability generating part 90. The memory part 10 stores various kinds of data for probability generation. The parallel random number generating part 30 generates a parallel random number such as a random number RM0 for probability generation or a random number RM1 for offset from uniform serial random numbers. The oscillating waveform generating part 40 generates the oscillation pattern of probability. The fall generating part 50 generates the fall of probability. The synthesizing part 60 synthesizes the oscillating waveform and the fall. The probability generating part 90 is composed of an assembly offset adding part 70 for adding offset to probability compare data and a comparing/deciding part 80 for outputting hit signals (HITH0-HIT3) from the random number for probability generation and the probability compare data.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a probability generating device suitable for use in generating probability of hit / miss in a gaming machine such as a gambling machine or a game machine.

2. Description of the Related Art In recent years, in a gaming machine (amusement) represented by a pachinko machine, a pachi-slot machine, a game machine, etc., in order to improve gambling, a winning condition or a winning role such as "big hit / small hit" or "big win / small win" is provided. For example, in a pachinko machine, a pachislot machine or the like, when a “big hit” is selected, a lot of winning balls and coins are continuously returned to the player.

The gaming machine is equipped with a random number generator and a probability generator, and the memory (R
Based on a control program and reference data stored in the OM), the various winning states and winning combinations described above are generated at appropriate preset probabilities. Therefore, if a person who is familiar with the control mechanism tampered with the data in the ROM by some means and set the probability of occurrence of a "hit" to an illegally high value, a large amount of "hits" would unreasonably occur,
The amusement side will suffer a great deal of damage. In fact, such misconducts are frequent.

Conventionally, in order to prevent such fraudulent acts, in the CPU of the probability generator, a security code is added so that the data in the ROM cannot be read from the outside, or a board on which the ROM is mounted is used as a case. Strict defensive measures were taken such as storing and storing the case to prevent unauthorized opening.

[0004]

However, the security code is deciphered even though the above-mentioned defensive measures are taken, and the modified CPU is used to change the data (probability value per hit) in the ROM. RO that illegally changed the data (probability value) by removing the regular ROM illegally
Unauthorized operations, such as replacing with M, have frequently occurred, and such gaming machines are still insufficient in terms of security.

By the way, in pachinko and pachislot, the difference in popularity between models is greatly influenced by the depth of interest in playing a game (high game quality), but on the other hand, the degree of gambling is low. However, there are some circumstances in which it is affected. For this reason, in recent years, it has become indispensable to pursue a higher gambling property as well as an excellent game property in order to improve the customer attraction rate.

The present invention has been made in view of the above-mentioned circumstances, and has a higher probability of security, and at the same time, an excellent game property and a high gambling property can be imparted to applications such as amusement machines. The purpose is to provide a generator.

[0007]

That is, the present invention according to claim 1 is provided with a parallel random number generator for continuously generating random numbers having uniformity, and determines whether the random numbers are hit / miss based on the random numbers. In a probability generation device that performs probability generation, two sets of random numbers are secured based on a trigger signal, one random number (RM0) is used for probability generation, and the other random number (RM1) is used for offset of probability comparison data. Set multiple prepared probability comparison data in each register, probability comparison data for big hits (P00), probability comparison data for small hits (P10), probability comparison data for big wins (P20), small wins Probability comparison data (P30), the probability comparison data (P00) and the probability comparison data (P10) are added,
This addition data (PA0) is added to the probability comparison data (P2
0) is added, and the probability comparison data (P30) is added to the addition data (PA1) to obtain addition data (PA2). Further, the offset random number (RM1) is added to the probability comparison data (P00) and the addition data (RA0, RA1, RA2), and the offset probability comparison data (PB0) and probability comparison data (PB1) are added. , Probability comparison data (PB2), probability comparison data (PB3), the offset random number (RM1) and probability comparison data (PB0), the probability comparison data (PB0) and probability comparison data (PB1), the probability comparison Data (PB1) and probability comparison data (PB2), the probability comparison data (PB
2) and the probability comparison data (PB3) are compared with each other to obtain the boundary points (the points at which the maximum value changes to the minimum value) between the probability comparison data and the probability expansion area, and the offset random number ( RM1), probability comparison data (PB0), probability comparison data (PB1), probability comparison data (PB2), probability comparison data (PB3), and the random number for probability generation (RM0) are compared by a comparator, respectively. Each of the probability comparison data and the boundary points of the probability expansion area are added to the comparison result, and each of the judging devices judges the hit / out, and the hit signals are a big hit (HIT0), a small hit (HIT1), and a big win (HIT2). ), Small role (HIT3)
Alternatively, it is characterized in that an outlier signal is generated.

The present invention according to claim 2 is the probability generator according to claim 1, wherein the hit signals (HIT0, HIT1, HIT2, HIT3) are registered in a register until the next probability generation is completed. It is characterized by holding.

The present invention according to claim 3 is the probability generation device according to claim 1 or 2, wherein the plurality of probability comparison data (P00, P10,
P20, P30) are prepared in plural sets, and any one of them is selected to generate the probability.

Further, the present invention according to claim 4 is to secure two sets of processing random numbers (RB0, RB1) in the probability generating device according to any one of claims 1 to 3. , A plurality of random numbers obtained after securing the processing random number constitutes a random number group in two blocks, and the processing random number (RB
Random number (RN0) selected from the random number group of the one block based on the address data (Y0) extracted in 0).
Is the random number for generating probability (RM0), and the address data (Y) extracted by the random number for processing (RB1).
The random number (RN1) selected from the random number group of the other block based on 1) is used as the offset random number (RM1).

The present invention according to claim 5 is the probability generation device according to any one of claims 1 to 3, wherein two sets of processing random numbers (RB0, RB1) are secured. , A plurality of random numbers obtained after securing the processing random number constitutes a random number group in two blocks, and the processing random number (RB
Random number (RN0) selected from the random number group of the one block based on the address data (Y0) extracted in 0).
The rotation amount (X) extracted by the processing random number (RB0).
0), the random number (RS0) obtained by rotation is used as the probability generating random number (RM0), and the processing random number (RB)
A rotation amount (X1) obtained by extracting a random number (RN1) selected from a random number group of the other block based on the address data (Y1) extracted in 1) by the processing random number (RB1).
It is characterized in that the random number (RS1) obtained by rotating at is used as the offset random number (RM1).

Further, the present invention according to claim 6 is the probability generating device according to any one of claims 1 to 3, wherein two sets of processing random numbers (RB0, RB1) are secured. , A plurality of random numbers obtained after securing the processing random number constitutes a random number group in two blocks, and the processing random number (RB
Random number (RN0) selected from the random number group of the one block based on the address data (Y0) extracted in 0).
The rotation amount (X) extracted by the processing random number (RB0).
0) and the random number (RS
0) as the probability generating random number (RM0), and the random number (RN1) selected from the random number group of the other block based on the address data (Y1) extracted by the processing random number (RB1). The rotation amount (X1) extracted by the processing random number (RB1) and the random number (RS1) obtained by rotating in the rotation direction (Z1) are the offset random number (RM1).
It is characterized by

The present invention according to claim 7 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3), and a random number (RN
0) and random number (RN1) obtained by exclusive OR
0 (5)) is the probability generation random number (RM0), and the random number (RM1 (5)) obtained by the exclusive OR of the random number (RN2) and the random number (RN3) is the offset random number (R).
M1).

The present invention described in claim 8 is the probability generation device according to any one of claims 1 to 3, wherein four sets of random numbers for processing (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
RN1, RN2, RN3) are the random numbers for processing (RB0,
The amount of rotation (X0, RB1, RB2, RB3) extracted by
Random numbers (RS0, R) obtained by rotating X1, X2, X3)
Random number (RMO) obtained by exclusive OR of the random number (RS0) and the random number (RS1) using S1, RS2, RS3).
(7)) is the probability generation random number (RM0), and the random number (RM1 (7)) obtained by the exclusive OR of the random number (RS2) and the random number (RS3) is used as the offset random number (RM1). ) And is characterized.

According to a ninth aspect of the present invention, in the probability generator according to any one of the first to third aspects, four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
RN1, RN2, RN3) are the random numbers for processing (RB0,
The amount of rotation (X0, RB1, RB2, RB3) extracted by
X1, X2, X3) and rotation direction (Z0, Z1, Z2, Z
3) Random number obtained by rotating (RS0, RS1, RS2,
RS3) and the random number (RS0) and the random number (RS
The random number (RMO (7)) obtained by the exclusive OR of 1) is used as the probability generation random number (RM0), and the random number (R
The random number (RM1 (7)) obtained by the exclusive OR of S2) and the random number (RS3) is used as the offset random number (RM1).

According to a tenth aspect of the present invention, in the probability generator according to any one of the first to third aspects, four sets of processing random numbers (RB0, RB1, RB2,
RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into 4 blocks, and the address data (Y0, Y0, Y1, Y2, Y3) based on the random number (RN
0, RN1, RN2, RN3) and the random number (RN1, R)
Random number (RS) obtained by rotating N3) by the rotation amount (X1, X3) extracted by the processing random number (RB1, RB3).
1, RS3), and the random number (RM0 (4)) obtained by the exclusive OR of the random number (RN0) and the random number (RS1).
Is the random number for generating probability (RM0), and the random number (RM1 (4)) obtained by exclusive OR of the random number (RN2) and the random number (RS3) is the random number for offset (RM).
1) is set.

Further, the present invention according to claim 11 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN1,
The random number (RS1, RS3) obtained by rotating the RN3) in the rotation direction (Z1, Z3) and the rotation amount (X1, X3) extracted by the processing random number (RB1, RB3) is used, and the random number (RS1, RS3) is used. The random number (RM0 (4)) obtained by the exclusive OR of the random number (RN0) and the random number (RS1) is used as the probability generation random number (RM).
0), and the random number (RN2) and the random number (R
The random number (RM1 (4)) obtained by the exclusive OR of S3) is used as the offset random number (RM1).

The present invention according to claim 12 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
Random number (RS) obtained by rotating RN2) by the rotation amount (X0, X2) extracted by the processing random number (RB0, RB2).
0, RS2) and a random number (RM0 (6)) obtained by exclusive OR of the random number (RN1) and the random number (RS0).
As the probability generation random number (RM0), and the random number (RM1 (6)) obtained by the exclusive OR of the random number (RN3) and the random number (RS2) is used as the offset random number (RM).
1) is set.

The present invention according to claim 13 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
The random number (RS0, RS2) obtained by rotating RN2) in the rotation direction (Z0, Z2) and the rotation amount (X0, X2) extracted by the processing random number (RB0, RB2) is used to generate the random number (RS0, RS2). The random number (RM0 (6)) obtained by the exclusive OR of RN1) and the random number (RS0) is the random number for generating probability (RM0).
0), and the random number (RN3) and the random number (R
The random number (RM1 (6)) obtained by the exclusive OR of S2) is used as the offset random number (RM1).

The present invention according to claim 14 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
RN1, RN2, RN3) are the random numbers for processing (RB0,
The amount of rotation (X0, RB1, RB2, RB3) extracted by
X1, X2, X3) and rotation direction (Z0, Z1, Z2, Z
3) Random number obtained by rotating (RS0, RS1, RS2,
RS3) and the random number (RN0)
(0)) and the random number (RN1) is the random number (RM0
(1)) and the random number (RS0) is the random number (RM0
(2)) and the random number (RS1) is the random number (RM0
(3)), the random number (RN0) and the random number (RS
The random number obtained by the exclusive OR of 1) is a random number (RM0 (4))
And a random number obtained by an exclusive OR of the random number (RN0) and the random number (RN1) is a random number (RM0 (5)), and is obtained by an exclusive OR of the random number (RN1) and the random number (RS0). The random number (RM0 (6))
The random number obtained by the exclusive OR of 1) and the random number (RS0) is used as the random number (RM0 (7)), and the random number (RN2)
Is a random number (RM1 (0)), the random number (RN3) is a random number (RM1 (1)), the random number (RS2) is a random number (RM1 (2)), and the random number (RS3) is a random number (R).
M1 (3)), and the random number (RN2) and the random number (R
The random number obtained by the exclusive OR of S3) is a random number (RM1
(4)), the random number (RN2) and the random number (RN
The random number obtained by the exclusive OR of 3) is a random number (RM1 (5))
Then, a random number obtained by an exclusive OR of the random number (RN3) and the random number (RS2) is set as a random number (RM1 (6)), and is obtained by an exclusive OR of the random number (RS3) and the random number (RS2). The random number (RM1 (7))
A random number selected from 0 (0) to RM0 (7) by the random number selection data (RC0) prepared in advance is used as the probability generation random number (RM0), and the random number (RM) is also used.
The offset random number (RM1) is a random number selected from the random number selection data (RC1) prepared in advance from 1 (0) to RM1 (7).

The present invention according to claim 15 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
RN1, RN2, RN3) are the random numbers for processing (RB0,
The amount of rotation (X0, RB1, RB2, RB3) extracted by
X1, X2, X3) and rotation direction (Z0, Z1, Z2, Z
3) Random number obtained by rotating (RS0, RS1, RS2,
RS3) and the random number (RN0)
(0)) and the random number (RN1) is the random number (RM0
(1)) and the random number (RS0) is the random number (RM0
(2)) and the random number (RS1) is the random number (RM0
(3)), the random number (RN0) and the random number (RS
The random number obtained by the exclusive OR of 1) is a random number (RM0 (4))
And a random number obtained by an exclusive OR of the random number (RN0) and the random number (RN1) is a random number (RM0 (5)), and is obtained by an exclusive OR of the random number (RN1) and the random number (RS0). The random number (RM0 (6))
The random number obtained by the exclusive OR of 1) and the random number (RS0) is used as the random number (RM0 (7)), and the random number (RN2)
Is a random number (RM1 (0)), the random number (RN3) is a random number (RM1 (1)), the random number (RS2) is a random number (RM1 (2)), and the random number (RS3) is a random number (R).
M1 (3)), and the random number (RN2) and the random number (R
The random number obtained by the exclusive OR of S3) is a random number (RM1
(4)), the random number (RN2) and the random number (RN
The random number obtained by the exclusive OR of 3) is a random number (RM1 (5))
Then, a random number obtained by an exclusive OR of the random number (RN3) and the random number (RS2) is set as a random number (RM1 (6)), and is obtained by an exclusive OR of the random number (RS3) and the random number (RS2). The random number (RM1 (7))
A random number selected from one of a plurality of random number selection data (RCx0) prepared in advance from 0 (0) to RM0 (7)) is used as the probability generation random number (RM0), and A plurality of random number selection data (RCx1) prepared in advance from among the random numbers (RM1 (0) to RM1 (7)).
The random number selected by one of the above is used as the offset random number (RM1).

According to a sixteenth aspect of the present invention, in the probability generator according to any one of the first to third aspects, four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
RN1, RN2, RN3) are the random numbers for processing (RB0,
The amount of rotation (X0, RB1, RB2, RB3) extracted by
X1, X2, X3) and rotation direction (Z0, Z1, Z2, Z
3) Random number obtained by rotating (RS0, RS1, RS2,
RS3) and the random number (RN0)
(0)) and the random number (RN1) is the random number (RM0
(1)) and the random number (RS0) is the random number (RM0
(2)) and the random number (RS1) is the random number (RM0
(3)), the random number (RN0) and the random number (RS
The random number obtained by the exclusive OR of 1) is a random number (RM0 (4))
And a random number obtained by an exclusive OR of the random number (RN0) and the random number (RN1) is a random number (RM0 (5)), and is obtained by an exclusive OR of the random number (RN1) and the random number (RS0). The random number (RM0 (6))
The random number obtained by the exclusive OR of 1) and the random number (RS0) is used as the random number (RM0 (7)), and the random number (RN2)
Is a random number (RM1 (0)), the random number (RN3) is a random number (RM1 (1)), the random number (RS2) is a random number (RM1 (2)), and the random number (RS3) is a random number (R).
M1 (3)), and the random number (RN2) and the random number (R
The random number obtained by the exclusive OR of S3) is a random number (RM1
(4)), the random number (RN2) and the random number (RN
The random number obtained by the exclusive OR of 3) is a random number (RM1 (5))
Then, a random number obtained by an exclusive OR of the random number (RN3) and the random number (RS2) is set as a random number (RM1 (6)), and is obtained by an exclusive OR of the random number (RS3) and the random number (RS2). The random number (RM1 (7))
Random number selection data (RC0) for selecting one of the random numbers (RM0 (0) to RM0 (7)) and the random number (RM0).
An arbitrary random number (RMA) for randomly selecting one of (0) to RM0 (7), and a random number selection prepared in advance and selecting one of the random numbers (RM1 (0) to RM1 (7)). Data (RC1) and the random number (RM1 (0) to RM)
Arbitrary random number (R
MB) and a random number selected by the random number selection data (RC0) or the random number (RMA) as the probability generation random number (RM0), and the random number selection data (RC1) or the random number (RMB). ) Is used as the offset random number (RM1).

The present invention according to claim 17 is the probability generation device according to any one of claims 1 to 3, wherein four sets of processing random numbers (RB0, RB1, RB) are used.
(2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) R0 selected from each random number group of the four blocks based on (Y0, Y1, Y2, Y3)
N0, RN1, RN2, RN3) and the random number (RN0,
RN1, RN2, RN3) are the random numbers for processing (RB0,
The amount of rotation (X0, RB1, RB2, RB3) extracted by
X1, X2, X3) and rotation direction (Z0, Z1, Z2, Z
3) Random number obtained by rotating (RS0, RS1, RS2,
RS3) and the random number (RN0)
(0)) and the random number (RN1) is the random number (RM0
(1)) and the random number (RS0) is the random number (RM0
(2)) and the random number (RS1) is the random number (RM0
(3)), the random number (RN0) and the random number (RS
The random number obtained by the exclusive OR of 1) is a random number (RM0 (4))
And a random number obtained by an exclusive OR of the random number (RN0) and the random number (RN1) is a random number (RM0 (5)), and is obtained by an exclusive OR of the random number (RN1) and the random number (RS0). The random number (RM0 (6))
The random number obtained by the exclusive OR of 1) and the random number (RS0) is used as the random number (RM0 (7)), and the random number (RN2)
Is a random number (RM1 (0)), the random number (RN3) is a random number (RM1 (1)), the random number (RS2) is a random number (RM1 (2)), and the random number (RS3) is a random number (R).
M1 (3)), and the random number (RN2) and the random number (R
The random number obtained by the exclusive OR of S3) is a random number (RM1
(4)), the random number (RN2) and the random number (RN
The random number obtained by the exclusive OR of 3) is a random number (RM1 (5))
Then, a random number obtained by an exclusive OR of the random number (RN3) and the random number (RS2) is set as a random number (RM1 (6)), and is obtained by an exclusive OR of the random number (RS3) and the random number (RS2). The random number (RM1 (7))
A plurality of random number selection data (RCx0) for selecting one of the random numbers (RM0 (0) to RM0 (7)) and the random number (R).
An arbitrary random number (RMA) for randomly selecting one of M0 (0) to RM0 (7), and a plurality of random numbers (RM1 (0) to RM1 (7)) prepared in advance and selecting one of the random numbers. Random number selection data (RCx1) and the random number (RM1
Random number (RMB) for randomly selecting one of (0) to RM1 (7)), and the random number selected by one of the plurality of random number selection data (RCx0) or the random number. The random number selected by (RMA) is used as the probability generation random number (RM0), and the random number selected by one of the plurality of random number selection data (RCx1) or the random number (RMB) is selected. The random number is the random number for the offset (RM1).

The present invention described in claim 18 is the probability generation device according to any one of claims 4 to 17, wherein a plurality of probability comparison data (Px
0a), probability comparison data (Px0b) and a plurality of probability comparison data (Px1a) for small hits, probability comparison data (Px
1b) and a probability switching rate (Ra) for switching the a / b groups of the probability comparison data, and a set of probability comparison data (Px0a, Px0a, Px0b) and a set of probability comparison data for small hits (Px1a, Px1b) are selected, and random numbers randomly generated based on the processing random numbers (RB0 to RB3) are used for probability switching of the a group / b group. A random number (RM3) is used, and the probability switching random number (RM3) is compared with the probability switching rate (Ra), and the probability comparison data (Px0a) or the probability comparison data (Px0b) is calculated based on the comparison result. One of them is selected as the probability comparison data (P00) for the big hit, and at the same time, either the probability comparison data (Px1a) or the probability comparison data (Px1b) is selected. Probability comparison data for Ri (P1
0).

The present invention according to claim 19 is the probability generation device according to any one of claims 4 to 17, wherein a plurality of probability comparison data (Px
0a), probability comparison data (Px0b) and a plurality of probability comparison data (Px1a) for small hits, probability comparison data (Px
1b), and a plurality of probability switching rates (Rax) that are set correspondingly and that switch a group / b group of each probability comparison data, are prepared in advance, and one set Probability comparison data for big hits (Px0a, P
x0b) and a set of probability comparison data for small hits (Px
1a, Px1b) and their probability switching rates (Rax)
And a random number arbitrarily generated based on the processing random numbers (RB0 to RB3) is set as the probability switching random number (RM3) of the a group / b group, and the probability switching random number (RM3) and the probability switching are selected. The probability (Rax) is compared, and based on the comparison result, either the probability comparison data (Px0a) or the probability comparison data (Px0b) is selected to be the probability comparison data (P00) for the big hit. In addition, either the probability comparison data (Px1a) or the probability comparison data (Px1b) is selected to be the probability comparison data (P10) for the small hit.

According to a twentieth aspect of the present invention, in the probability generator according to any one of the first to nineteenth aspects, a memory storing fluctuation waveforms, a first multiplier and an adder / subtractor are provided. A wobble waveform data (WAVCS) is output from the memory with phase address data having a second multiplier and a predetermined number of reference clocks as one cycle, and the wobble waveform data (WAVC) is output to one of the first multipliers.
S) is input, and the fluctuation coefficient (K
w), the fluctuation waveform data (WAVCS) is modulated in a range of 100 ± 100 × Kw% to generate modulated waveform data (WAVAD), and the second multiplier multiplies the previously prepared probability comparison data by the modulation. Waveform data (WA
VAD) is multiplied to add fluctuation to the probability comparison data.

According to a twenty-first aspect of the present invention, in the probability generating device according to any one of the first to nineteenth aspects, a memory storing a fluctuation waveform, a first multiplier and an adder-subtractor are provided. A wobble waveform data (WAVCS) is output from the memory with phase address data having a second multiplier and a predetermined number of reference clocks as one cycle, and the wobble waveform data (WAVC) is output to one of the first multipliers.
S) is input, and the fluctuation waveform data (WAVCS) is set to 100 by using one of a plurality of fluctuation coefficients (Kwx) prepared in advance by the multiplication / addition processing by the first multiplier and the adder / subtractor. Modulated waveform data (WAVAD) modulated within a range of ± 100 × Kwx% is generated, and a plurality of previously prepared probability comparison data sets are multiplied by the modulated waveform data (WAVAD) by the second multiplier to generate respective probabilities. The feature is that fluctuation is added to the comparison data set.

The present invention according to claim 22 is the probability generator according to any one of claim 20 or claim 21, wherein the fluctuation waveform is a sine waveform, a square waveform, or a triangular waveform, or It is characterized by being a sawtooth waveform, a trapezoidal waveform, a normal distribution waveform, a parabolic waveform, a cubic clute waveform, or another waveform.

The present invention according to claim 23 is the probability generation device according to any one of claims 20 to 22, wherein a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. The fluctuation waveform selection data (WPS) prepared in advance is used as the fluctuation waveform data by selecting and outputting one kind from the plural kinds of fluctuation waveforms as the waveform address data of the memory.

The present invention described in claim 24 is the probability generator according to any one of claims 20 to 22, wherein a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. The processing random number (RB0
To RB3), a random number arbitrarily generated based on RB3) is randomly selected and output from the plurality of types of fluctuation waveforms as waveform address data of the memory and used as the fluctuation waveform data. .

According to a twenty-fifth aspect of the present invention, in the probability generating device according to any one of the twentieth to twenty-second aspects, a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. And the fluctuation waveform A prepared in advance
Selection data (WPSA) and fluctuation waveform B selection data (WPSB) are used as waveform address data in the memory to select and output fluctuation waveform A and fluctuation waveform B from the plurality of fluctuation waveforms, respectively, and prepare in advance. Fluctuation waveform selection data (PWS0, PWS1, PW
Probability comparison data for big hits (S2, PWS3) (P
0), small hit probability comparison data (P1), large win probability comparison data (P2), small win probability comparison data (P3) for each of the fluctuation waveform off, fluctuation waveform A, or fluctuation waveform B It is characterized in that it is selected and used as the fluctuation waveform data.

According to a twenty-sixth aspect of the present invention, in the probability generating device according to any one of the twentieth to twenty-second aspects, a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. And the fluctuation waveform A prepared in advance
Selection data (WPSA) and fluctuation waveform B selection data (WPSB) are used as waveform address data of the memory to select and output fluctuation waveform A and fluctuation waveform B, respectively, from the plurality of fluctuation waveforms. The fluctuation waveform A and fluctuation waveform B are combined by a combiner, and fluctuation waveform selection data (PWS0, PWS) prepared in advance is combined.
1, PWS2, PWS3) big hit probability comparison data (P0), small hit probability comparison data (P1), big win probability comparison data (P2), small win probability comparison data (P
3) The fluctuation waveform is turned off, the fluctuation waveform A, the fluctuation waveform B, or a composite waveform of the fluctuation waveform A and the fluctuation waveform B is selected and used as the fluctuation waveform data.

Further, according to the present invention of claim 27, in the probability generating device according to any one of claims 20 to 22, a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. And the fluctuation waveform A prepared in advance
Selection data (WPSA) or the processing random number (RB
0-RB3), randomly generated random waveform A for selection of the fluctuation waveform A and previously prepared fluctuation waveform B selection data (WPSB) or the processing random number (RB0-RB3)
Based on the random number for randomly selecting the fluctuation waveform B as the waveform address data of the memory, the fluctuation waveform A and the fluctuation waveform B are selected and output from the plural kinds of fluctuation waveforms, respectively. The fluctuation waveform A and the fluctuation waveform B are combined by a combiner, and fluctuation waveform selection data (PWS0, PWS1, PWS2,
The fluctuation waveform is turned off or the fluctuation waveform A is set for each of the big hit probability comparison data (P0), the small hit probability comparison data (P1), the big win probability comparison data (P2), and the small win probability comparison data (P3) by PWS3). , Or the fluctuation waveform B, or a composite waveform of the fluctuation waveform A and the fluctuation waveform B, is used as the fluctuation waveform data.

The invention described in claim 28 is the probability generator according to any one of claims 23 to 27, in which the waveform address data of the memory are prepared in advance for a plurality of fluctuation waveform conversions. Data (WPCN0
~ WPCN15) based on the second converter, and select the fluctuation waveform in the fluctuation waveform conversion data.
It is characterized by outputting.

According to a twenty-ninth aspect of the present invention, in the probability generation device according to any one of the twentieth to twenty-eighth aspects, the polarity selection data prepared in advance is output from the memory. The polarity of the fluctuation waveform data is set by a polarity switch.

According to a thirtieth aspect of the present invention, in the probability generator according to any one of the twentieth to twenty-eighth aspects, the polarity selection data or the processing random number (RB0 to RB0) prepared in advance is used. The polarity of the fluctuation waveform data output from the memory is set by the polarity switcher by a random number for polarity selection arbitrarily generated based on RB3).

According to a thirty-first aspect of the present invention, in the probability generator according to any one of the twentieth to thirtieth aspects, a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. Then, the selection data (WPSA) of the fluctuation waveform A prepared in advance or the processing random number (R
Fluctuation waveform A arbitrarily generated based on B0 to RB3)
Random number for selection, and the selection data (WPSB) of the fluctuation waveform B prepared in advance or the processing random number (RB0 to RB).
3) A plurality of fluctuation waveform conversion data (WP) prepared in advance with random numbers for selection of fluctuation waveform B arbitrarily generated based on
CN0 to WPCN15) and selects and outputs the fluctuation waveform A and the fluctuation waveform B from the plural kinds of fluctuation waveforms as the waveform address data of the memory, and outputs the fluctuation waveform A and the fluctuation waveform, respectively. Produces fluctuation waveform selection data (PWS0, PWS1, PWS2, PWS3) prepared in advance by combining B with a combiner, or randomly generated random number for selecting fluctuation waveforms for big hit probability comparison data (P0), for small hits For each of the probability comparison data (P1), the large role probability comparison data (P2), and the small role probability comparison data (P3), the fluctuation waveform is turned off, the fluctuation waveform A, the fluctuation waveform B, or the fluctuation waveform A and the fluctuation waveform B. One of the synthesized waveforms is selected and used as the fluctuation waveform data.

According to a thirty-second aspect of the present invention, in the probability generator according to any one of the twentieth to thirtieth aspects, a plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory. Then, the selection data (WPSA) of the fluctuation waveform A prepared in advance or the processing random number (R
Fluctuation waveform A arbitrarily generated based on B0 to RB3)
Random number for selection, and the selection data (WPSB) of the fluctuation waveform B prepared in advance or the processing random number (RB0 to RB).
3) A plurality of fluctuation waveform conversion data (WP) prepared in advance with random numbers for selection of fluctuation waveform B arbitrarily generated based on
CN0 to WPCN15) and selects and outputs the fluctuation waveform A and the fluctuation waveform B from the plural kinds of fluctuation waveforms as the waveform address data of the memory, and outputs each fluctuation waveform A and fluctuation waveform. B is synthesized by a synthesizer, and a plurality of fluctuation waveform selection data sets (PWSx0, PWSx1, PWS) prepared in advance are combined.
x2, PWS x3) one set of big hit probability comparison data (P0), small hit probability comparison data (P
1), the fluctuation waveform is turned off for each of the large role probability comparison data (P2) and the small role probability comparison data (P3), or the fluctuation waveform A, the fluctuation waveform B, or the combined waveform of the fluctuation waveform A and the fluctuation waveform B. Is selected and used as the fluctuation waveform data.

The thirty-third aspect of the present invention is the probability generation device according to any one of the twenty-third to thirty-second aspects, in which the phase address data having a predetermined reference clock number as one cycle is previously stored. It is characterized in that the prepared phase data is added and the phase of the fluctuation waveform output from the fluctuation waveform storage memory is set.

According to a thirty-fourth aspect of the present invention, in the probability generating device according to any one of the twentieth to thirty-second aspects, the phase address data having a predetermined reference clock number as one cycle is previously stored. To add either the prepared phase data or the random number for phase arbitrarily generated based on the random number for processing (RB0 to RB3) to set the phase of the fluctuation waveform output from the fluctuation waveform storage memory. Is characterized by.

The present invention described in claim 35 is the probability generation device according to any one of claims 20 to 34, wherein coefficient selection data (WTSE) of a reference axis of fluctuation prepared in advance is used. According to the above, the cycle of the reference clock is changed, and one cycle of the phase address data is arbitrarily set.

Further, according to the present invention of claim 36, in the probability generating device according to any one of claims 20 to 34, coefficient selection data (WTSE) of a fluctuation reference axis prepared in advance is provided. Alternatively, the processing random number (RB0
~ RB3), the cycle of the reference clock is changed by any of the random numbers for coefficient selection of the fluctuation reference axis, and one cycle of the phase address data is arbitrarily or randomly set. To do.

The present invention according to claim 37 is the probability generation device according to claim 35 or 36, wherein the coefficient selection data (WTSE) of the fluctuation reference axis or the fluctuation reference. Fluctuation time axis conversion data (WTCN0) prepared in advance with random numbers for axis coefficient selection
~ WTCN7) based on the first converter,
The cycle of the reference clock is changed arbitrarily or randomly.

The present invention according to claim 38 is the probability generator according to any one of claims 35 to 37, wherein the reference clock has a constant reference time signal and a trigger signal. It is characterized in that either of them is arbitrarily selected based on the fluctuation reference axis selection data (WTRF) prepared in advance.

The 39th aspect of the present invention is the probability generation device according to any of the 35th to 37th aspects, wherein the reference clock has a constant reference time signal and a trigger signal. , Either of them based on random data for selecting the reference axis of fluctuation (WTRF) or random numbers for random selection of the reference axis of fluctuation generated based on the random numbers for processing (RB0 to RB3). Alternatively, it is characterized by randomly selecting.

The present invention according to claim 40 is the random number generating device according to any one of claims 20 to 39, wherein the random number is generated based on the first trigger signal generated after the power is turned on. The fluctuation waveform, polarity, phase, period time and reference axis are selected based on the above.

Further, the present invention described in claim 41 is characterized in that, in the probability generation device according to claim 40, the random number is updated every time one cycle ends.

Further, according to the present invention of claim 42, in the probability generation device according to any one of claims 20 to 41, a probability value (PWC) of a fluctuation which is automatically prepared in advance is set. Randomly generated random numbers for probability generation of automatic forced clearing are compared, and there is an automatic forced clearing function for fluctuations that forcibly ends one cycle of fluctuations based on the comparison result, and it is generated based on the trigger signal after forced ending The fluctuation waveform, polarity, phase, period time and reference axis are selected based on the new random number.

The present invention according to claim 43 is the probability generation device according to claim 42, wherein the random number for processing (RB0 to RB3) is added to the probability value (PWC) of the automatic fluctuation of the fluctuation. Based on the random value generated arbitrarily based on the probability value (PW
It is characterized in that C) has an offset.

The present invention as set forth in claim 44, in the probability generating device as set forth in claim 42 or claim 43, wherein mask data for setting valid / invalid of the automatic fluctuation clearing function for fluctuations. It is characterized by having (SWFL).

The present invention according to claim 45 is the probability generation device according to any one of claims 1 to 44, wherein the counter is a counter for counting trigger signals.
It has a multiplier, an adder, and a fourth multiplier, the count output (CFN) of the counter is input to one of the third multipliers, and by the multiplication / addition processing by the third multiplier and the adder, The count output (CFN) is 100 + 100 × KF based on the fall coefficient (KF) prepared in advance.
The fall data (FALAD) changed in the range of% is generated, the probability data prepared in advance is multiplied by the fall data (FALAD) by the fourth multiplier, and the fall function is added to the probability comparison data. The probability value is increased by a constant coefficient until a hit occurs, and the fall function is initialized when the hit occurs.

According to a 46th aspect of the present invention, in the probability generating device according to any one of the 1st to 44th aspects, a counter for counting a trigger signal, a comparator, a third multiplier, It has an adder and a fourth multiplier, and compares the number of falls (MF) prepared in advance with the count output (CFN) of the counter by the comparator, and the count output (CFN) shows the number of fall (MF). ) In the above case, the count output (CFN) and the subtracted value of the number of falls are
Otherwise, input 0 to one of the third multipliers,
By the multiplication / addition processing by the third multiplier and the adder, fall data (FALAD) in which the count output (CFN) is changed in the range of 100 + 100 × KF% is generated based on the fall coefficient (KF) prepared in advance. Then, the probability multiplication data prepared in advance is multiplied by the fall data (FALAD) by the fourth multiplier, and a fall function is added to the probability comparison data. After a predetermined number of fall times, a constant value is maintained until a hit occurs. The probability value is increased by the coefficient of and the fall function is initialized at the time of occurrence of a hit.

Further, the present invention according to claim 47 is the probability generation device according to any one of claims 1 to 44, in which a counter for counting a trigger signal, a comparator, a third multiplier, It has an adder and a fourth multiplier, and compares the number of falls (MF) prepared in advance with the count output (CFN) of the counter by the comparator, and the count output (CFN) shows the number of fall (MF). ) In the above case, a constant value is input, and in other cases, 0 is input to one of the third multipliers, and the fall coefficient (KF) prepared in advance is obtained by the multiplication / addition processing by the third multiplier and the adder. )
The count output (CFN) is 100 + 10 based on
Fall data changed in the range of 0 × KF% (FALA
D) is generated, the probability data prepared in advance is multiplied by the fall data (FALAD) by the fourth multiplier, and a fall function is added to the probability comparison data.
It is characterized in that after a predetermined number of fall times, it is fixed to a constant high probability value until a hit occurs, and the fall function is initialized when the hit occurs.

The present invention according to claim 48 is the probability generation device according to any one of claim 46 or claim 47, wherein a plurality of fall times (MFx) are prepared in advance for each trigger signal generation. One of the above is selected and used.

The present invention according to claim 49 is the probability generating apparatus according to any one of claims 45 to 48, wherein a plurality of fall coefficients (KFx) prepared in advance for each trigger signal generation are used. ) Is selected and used.

The present invention according to claim 50 is the probability generation device according to any one of claims 45 to 49, wherein the probability of big hit (P0) or the probability of small hit (P1) When the above occurs, the fall function is initialized.

The present invention according to claim 51 is the probability according to any one of claims 45 to 50, based on the fall selection data (PFS0) for the jackpot probability (P0) prepared in advance. The fall function of the generator or the fall function off is executed, and the fall function is initialized when the probability (P0) is hit.

Further, the present invention according to claim 52 is based on the fall selection data (PFS0) for the jackpot probability (P0) and the fall selection data (PFS1) for the jackpot probability (P1) prepared in advance. Claim 45 to claim 5
A fall function of the probability generating device according to any one of 0 to
The fall function is turned off, and the fall function is initialized when the probability (P0) or the probability (P1) is hit.

The present invention according to claim 53 is the probability generation device according to claim 51, wherein one of a plurality of fall selection data (PFSx0) for the jackpot probability (P0) prepared in advance. The feature is that one is selected and used.

The present invention according to claim 54 is the probability generation device according to claim 52, wherein a plurality of fall selection data (PFSx0) for a big hit probability (P0) and a small hit are prepared in advance. It is characterized in that one of a plurality of fall selection data (PFSx1) for the probability (P1) is selected and used.

The present invention according to claim 55 is the probability generation device according to any one of claims 45 to 54, wherein when the probability (P0) of a big hit occurs,
Alternatively, when the probability of small hit (P1) occurs and the fall end mask (SF) for the probability of small hit (P1) prepared in advance is turned off, the fall function is terminated and initialized. And

Further, the present invention according to claim 56 is the probability generation device according to any one of claims 45 to 55, wherein an automatic forced clear time (TFC) and a trigger for a fall function prepared in advance are provided. A signal has an automatic forced clear function for comparing the signal generating time intervals and forcibly ending the fall function when the trigger signal generating time interval becomes larger than the automatic forced clear time (TFC) of the fall function. It is characterized by

The present invention according to claim 57 is the probability generation device according to claim 56, further comprising mask data (SWFH) for setting the validity / invalidity of the automatic forced clear function of the fall. Characterize.

The present invention according to claim 58 is the probability generation device according to any one of claims 1 to 57, wherein the hit signals (HIT0, HIT1, H
It is characterized in that at the same time as outputting IT2, HIT3), an arbitrarily generated auxiliary random number is output as data for making a role and making a pattern.

The present invention according to claim 59 is the probability generation device according to any one of claims 1 to 58, wherein the probability-per-probability signals (HIT0, HIT).
1, HIT2, HIT3), and at the same time, the probability generation random number (RM0) and the offset random number (RM).
1), the probability comparison data (PB0), the probability comparison data (PB1), the probability comparison data (PB2), the probability comparison data (PB3), or the probability generation random number (RM0) and the probability comparison data. (P00) and the probability comparison data (PA0) and the probability comparison data (PA
1) and the probability comparison data (PA2) are output directly, optically, or by radio waves in a serial format.

The present invention as defined in claim 60, in the probability generator according to any one of claims 1 to 59, sets the offset random number (RM1) to a fixed value 0. Characterize.

The present invention according to claim 61 is the probability generation device according to any one of claims 1 to 60, wherein the processing random numbers (RB0, RB1, RB) are used.
2, RB3) is secured before the trigger signal is generated.

The present invention according to claim 62 is the probability generation device according to any one of claims 1 to 60, wherein the (RB0, RB1, RB2, RB
3) is secured at the time when the trigger signal is generated.

The present invention according to claim 63 is the probability generation device according to any one of claims 1 to 60, wherein the (RB0, RB1, RB2, RB
3) is secured after the trigger signal is generated.

Here, in the configurations described in claims 1 to 19, data (random number) for probability generation and probability comparison.
Since the content and the timing of occurrence of the data change with each trigger signal, it is possible to generate a probability that there is no regularity, correlation, or periodicity.Therefore, it is virtually impossible to illegally read internal data or predict the data content. As a result, it is possible to realize unexpectedness and excellent fraud prevention function.

According to the twenty-fourth to fourty-fourth aspects, the probability value of a hit fluctuates in a predetermined fluctuation cycle (for example, in a game machine, a period in which the hit is large and a period in which the hit is small are cyclic. It is possible to give the player more expectation and thrill. Furthermore, by sequentially changing the fluctuation cycle, fluctuation waveform, etc., the player will have a more thrilling feeling and expectation in the completely unexpected fluctuation motion of hit / off.

Further, in the structures according to claims 45 to 57, the probability of non-win is significantly reduced as the number of times of lottery (the number of consecutive losses) increases, so that there is almost no possibility of causing a great loss to the player. It can be eliminated, giving the player a sense of expectation and fair sociability (prevention of major losses).
As a result, it is possible to realize high game play and gambling play. Furthermore, by changing the probability increase pattern for each cycle of probability fluctuation, a new unexpected fluctuation of probability is obtained each time a hit occurs, and the player has a higher sense of expectation.

Further, in the structure according to claim 58, since the auxiliary random number also has a surprising property, if this is used for a detailed role or a pattern, a gaming machine or the like having a higher gambling property can be realized. You can

Further, in the structure according to the 59th aspect, it is possible to easily verify the appearance uniformity of the random number in the serial data and confirm the validity of the probability.

[0075]

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of a probability generating apparatus according to the present invention will be described below with reference to the drawings.

FIG. 1 is a schematic block diagram showing the overall structure of the probability generator 1 according to this embodiment. The probability generation device 1 of the present embodiment includes a memory unit 10 (for example, a ROM is used) in which various reference data such as probability comparison data, selection data and mask data necessary for probability generation are stored, and a trigger signal (TRIG- S1) or a fixed reference time signal (TI
ME-5) as an input, a control circuit 20 for controlling data reading from the memory section 10 and various timing controls for probability generation, and a random number for probability generation from a serial random number (RNDS-0) having uniformity. (RM0) and random number for offset (RM1) and other parallel random number generation unit 30 that generates various basic random numbers, fluctuation waveform generation unit 40 that generates fluctuation of probability, and increase (that is, fall) pattern of probability. The fall generation unit 50 for generating, the synthesizing unit 60 for synthesizing the fluctuation waveform and the fall pattern, the assembly offset adding unit 70 for adding an offset to the probability comparison data, the random number for probability generation and the probability comparison data are compared, and the hit signal ( And a probability generation unit 90 including a comparison / determination unit 80 that outputs (HITH-0 to 3).

In the probability generating device 1 having the above-mentioned structure, the 1-bit random number having uniformity is converted into the parallel random number having the n-bit structure, and the random number for probability generation (RM0) generated from the random number is offset and fluctuated. By comparing the comparison data of the memory unit 10 to which the fall is added, it is possible to generate a probability that is unexpected and has no periodicity, correlation, or regularity, and a trigger signal (for example, in the case of a gaming machine, When the lottery signal generated based on the hit signal generated by the winning sensor) is generated, the winning / missing probability signal is output.

The details of each of the above-mentioned parts will be described below.

First, the parallel random number generator 30 will be described with reference to FIGS. Here, FIG. 2 shows a configuration of the parallel random number generation unit 30, FIG. 3 shows generation of an original random number, FIG. 4 shows generation of a basic random number based on the original random number, and FIG. 5 is a random number for probability generation and an offset random number. 6 shows the configuration of probability comparison data and random number selection data stored in the memory unit 10.

As shown in FIG. 2, the parallel random number generating section 30 of this embodiment has a first counter, a second counter,
It is provided with 17 registers of 1st to 17th, 5 control circuits of 1st to 5th, and 5 shift registers of 1st to 5th, of which 1st counter, 1st shift register, Serial random number (RNDS-0) is converted into parallel random number (RPO) by one register. That is, in the present embodiment, the serial random number (RNDS-0) is the clock (C
It is set in the first register in 16-bit units in synchronization with LK), and the synchronization signal (JP0
0-02) is generated.

Further, by the synchronization signal (JP00-02), the parallel random number (RPO) is transferred to the second register,
It is sequentially held in the third register, the fourth register, and the fifth register. Then, the trigger signal (TRIG-S
When 1) occurs, the past four random numbers (RP1 to RP4) held in the second to fifth registers are processed by the sixth, seventh, eighth, and ninth registers to process random numbers (RB0). ~ RB3).

Further, the second counter, the second control circuit and the tenth register, the third control circuit and the eleventh register, the fourth control circuit and the twelfth register, the fifth control circuit and the thirteenth register.
In the register, for example, when the trigger signal (TRIG-1) is generated as a starting point (Count0), as shown in FIG.
As shown in FIG. 4, a random number group of 4 blocks (512 Count) in which 128 Count is one block is configured, and the address data extracted by the processing random number (RBO to RB3) from the 128 random number group of each block. (Y0
~ Y3) each source random number (RN0 to RN3)
To generate.

Next, the respective random numbers generated by the second shift register and the fourteenth register, the third shift register and the fifteenth register, the fourth shift register and the sixteenth register, the fifth shift register and the seventeenth register ( RN0 to RN3) are the random numbers for processing (RBO to RB)
The rotation amount (X0 to X3) extracted in 3), or the rotation amount (X0 to X3) and the rotation direction (Z0 to Z3),
Each of the source random numbers (RS0 to
RS3) is extracted.

Hereinafter, based on FIGS. 3 to 6 and Tables 1 and 2, the source random numbers (RN0 to RN3 and RS0 to RS)
Embodiments (1) to (14) regarding a method of generating a random number for random number generation (RM0) and a random number for offset (RM1) using 3) will be described. Here, Table 1 shows the processing contents from the source random number to the basic random number (RM0), and Table 2 shows the processing contents from the source random number to the basic random number (RM1).

(1) In this embodiment, the random numbers (RN0, RN1) of two blocks are used, the random number (RN0) is used as the probability generation random number (RM0), and the random number (RN1) is used as the offset random number (RM1). Is the method.

(2) In this embodiment, two blocks of the random numbers (RN0, RN1) are used, and the random number (RN0) is rotated by the rotation amount (X0) extracted by the processing random number (RB0). The obtained random number (RS0) is used as a probability generation random number (RM0), and the random number (RS1) obtained by rotating the random number (RN1) by the rotation amount (X1) extracted by the processing random number (RB1) is used as an offset. This is a method of using a random number (RM1).

(3) In this embodiment, the random number (RN0) is extracted by the processing random number (RB0) and the rotation direction (Z0) using the two blocks of the random number (RN0, RN1). ), The random number (RS0) obtained by rotation is used as a probability generation random number (RM0), and the random number (RN1) is extracted by the processing random number (RB1) as the rotation amount (X1) and the rotation direction (Z).
In this method, the random number (RS1) obtained by rotating in 1) is used as the offset random number (RM1).

(4) In the present embodiment, the random number (RM) obtained by the exclusive OR (XOR) of the random number (RN0) and the random number (RN1) is used by using the random number (RN0 to RN3) of 4 blocks.
0 (5)) is the random number for generating probability (RM0), and the random number (R
The random number (RM1 (5)) obtained by the exclusive OR (XOR) of N2) and the random number (RN3) is the offset random number (RM1).
Is the method.

(5) In the present embodiment, the random number (RN0 to RN3) of four blocks and the rotation amount (X obtained by extracting the random number (RN0 to RN3) with the processing random number (RB0 to RB3).
Random numbers (RS0 to RS3) obtained by rotating at 0 to X3), and random numbers (RMO (7)) obtained by exclusive OR of the random number (RS0) and the random number (RS1) (RM
0), and the random number (RM1 (7)) obtained by the exclusive OR of the random number (RS2) and the random number (RS3) is used as the offset random number (RM1).

(6) In the present embodiment, the random number (RN0 to RN3) of four blocks and the rotation amount (X obtained by extracting the random number (RN0 to RN3) by the processing random number (RB0 to RB3).
0-X3) and the random number (RS0-RS3) obtained by rotating in the rotation direction (Z0-Z3) is used, and the random number (RMO) obtained by exclusive OR of the random number (RS0) and the random number (RS1).
(7)) is the random number for generating probability (RM0), and the random number (RS
2) and random number (RS3) obtained by exclusive OR
1 (7)) is used as the offset random number (RM1).

(7) In this embodiment, the four blocks of the random numbers (RN0 to RN3) and the random numbers (RN1 and RN) among them are used.
Random number (RS1, RS) obtained by rotating 3) by the rotation amount (X1, X3) extracted by the processing random number (RB1, RB3).
3) is used, the random number (RM0 (4)) obtained by the exclusive OR of the random number (RN0) and the random number (RS1) is used as the probability generation random number (RM0), and the random number (RN2) and the random number (RS3) are used. In this method, the random number (RM1 (4)) obtained by exclusive OR is used as the offset random number (RM1).

(8) In this embodiment, the random numbers (RN0 to RN3) of four blocks and the random numbers (RN1 and RN) among them are used.
Random number (RN1, RN)
0) and random number (RS1) obtained by exclusive OR
0 (4)) is the random number (RM0) for probability generation, and the random number (R
N2) and random number (RS3)
In this method, M1 (4)) is used as the offset random number (RM1).

(9) In this embodiment, the random number (RN0 to RN3) of four blocks and the random number (RN0, RN) among them are used.
Random number (RS0, RS) obtained by rotating 2) with the rotation amount (X0, X2) extracted by the processing random number (RB0, RB2).
2) is used, the random number (RM0 (6)) obtained by the exclusive OR of the random number (RN1) and the random number (RS0) is used as the probability generation random number (RM0), and the random number (RN3) and the random number (RS2) are used. In this method, the random number (RM1 (6)) obtained by exclusive OR is used as the offset random number (RM1).

(10) In this embodiment, the four blocks of the random numbers (RN0 to RN3) and the random numbers (RN0, R3) among them are used.
N2) is a random number (RN, RN) using the rotation amount (X0, X2) extracted by the processing random number (RB0, RB2) and the random number (RS0, RS2) obtained by rotating in the rotation direction (Z0, Z2).
Random number (RM) obtained by exclusive OR of 1) and random number (RS0)
0 (6)) is the random number for generating probability (RM0), and the random number (R
N3) and random number (RS2) obtained by exclusive OR
In this method, M1 (6)) is used as the offset random number (RM1).

(11) In this embodiment, the four blocks of the random numbers (RN0 to RN3) and the random numbers (RN0 to RN) are used.
3) using the rotation amount (X0 to X3) extracted by the processing random number (RB0 to RB3) and the random number (RS0 to RS3) obtained by rotating in the rotation direction (Z0 to Z3), the random number (RN
0) is the random number (RM0 (0)), the random number (RN1) is the random number (RM0 (1)), and the random number (RS0) is the random number (RM
0 (2)) and the random number (RS1) as the random number (RM0
(3)), the random number obtained by the exclusive OR of the random number (RN0) and the random number (RS1) is set as the random number (RM0 (4)), and is obtained by the exclusive OR of the random number (RN0) and the random number (RN1). Random number (RM0 (5)) and the random number obtained by the exclusive OR of the random number (RN1) and the random number (RS0).
(6)), and the random number obtained by the exclusive OR of the random number (RS1) and the random number (RS0) is set as the random number (RM0 (7)). With this, eight different random numbers for generating probability (RM0 (0) ) ~
RM0 (7)) is generated. Further, the random number (RN2) is a random number (RM1 (0)), and the random number (RN3) is a random number (R
M1 (1)) and the random number (RS2) as the random number (RM1
(2)) and the random number (RS3) is a random number (RM1 (3))
And the random number obtained by the exclusive OR of the random number (RN2) and the random number (RS3) is set as the random number (RM1 (4)), and the random number (RN
The random number obtained by the exclusive OR of 2) and the random number (RN3) is set as the random number (RM1 (5)), and the random number (RN3) and the random number (RS
The random number obtained by the exclusive OR of 2) is a random number (RM1 (6))
Then, a random number obtained by the exclusive OR of the random number (RS3) and the random number (RS2) is defined as a random number (RM1 (7)), and by this, eight different offset random numbers (RM1 (0) to RM1).
(7)) is generated. Next, according to the random number selection data (RC0) stored in the memory unit 10, one of the random numbers (RM0 (0) to RM0 (7)) is selected by the selection circuit of FIG. Random number (RM0) and random number (RM1 (0) to RM1) according to the random number selection data (RC1).
Select one from (7)) and select the offset random number (R
The method is M1).

(12) In this embodiment, four blocks of the random numbers (RN0 to RN3) and the random numbers (RN0 to RN) are used.
3) using the rotation amount (X0 to X3) extracted by the processing random number (RB0 to RB3) and the random number (RS0 to RS3) obtained by rotating in the rotation direction (Z0 to Z3), )
In the same manner as the above embodiment, eight different random numbers for generating probability (RM0 (0) to RM0 (7)) and eight different random numbers for offset (RM1 (0) to RM1 (7)) are generated. . In the present embodiment, as shown in FIG. 6, random number (RM0) selection data (RCx0) is stored in the memory unit 10.
And a plurality of sets (8 sets) of selection data (RCx1) of random number (RM1) are stored. In the present embodiment, among the plurality of random number selection data (RCx0), the probability comparison data set at the time of trigger signal generation is set. Selected address (A0, A
1, A2) using the random number selection data selected in the same manner as described above, one of the random numbers (RM0 (0) to RM0 (7)) is selected as a random number for generating probability (RM0), Of the random number selection data (RCx1), the selection address (A0, A1, A of the probability comparison data set when the trigger signal is generated)
Random number (RM) using the random number selection data selected in 2)
This is a method of selecting one from 1 (0) to RM1 (7) and using it as the offset random number (RM1). Also in this case, the selection circuit shown in FIG. 5 is used to select the random number.

(13) In this embodiment, four blocks of the random numbers (RN0 to RN3) and the random numbers (RN0 to RN) are used.
3) using the rotation amount (X0 to X3) extracted by the processing random number (RB0 to RB3) and the random number (RS0 to RS3) obtained by rotating in the rotation direction (Z0 to Z3), )
In the same manner as the above embodiment, eight different random numbers for generating probability (RM0 (0) to RM0 (7)) and eight different random numbers for offset (RM1 (0) to RM1 (7)) are generated. . In this embodiment, the probability generation random number (RM0
(0)) for selecting the random number selection data (RC0) and the random number (RMA), and for selecting the offset random number (RM1) for selecting the random number selection data (RC1) and the random number (RMB).
To use. Here, the random number selection data (RC0) and the random number selection data (RC1) are data stored in the memory unit 10, and the random number (RMA) and the random number (R).
MB) is, for example, bits 00 to bi of the random number (RM2) obtained by exclusive OR of the random number (RS1) and the random number (RS2).
t02 is a random number (RMA), and bit08 to bit10
Can be a random number (RMB). In the present embodiment, a random number randomly or randomly selected by the random number selection data (RC0) or the random number (RMA) is used as the probability generation random number (RM0), and is randomly selected by the random number selection data (RC1) or the random number (RMB). Alternatively, it is a method of using a randomly selected random number as the offset random number (RM1). (See Table 1 and Table 2)

(14) Four blocks of the random numbers (RN0 to RN0)
RN3) and the rotation amount (X0 to X3) extracted from the random number (RN0 to RN3) by the processing random number (RB0 to RB3).
And the random number obtained by rotating in the rotation direction (Z0 to Z3) (RS
0 to RS3), and eight different random numbers (RM0) for probability generation, which are different from each other in the same manner as the embodiment described in (11) above.
Eight random numbers for offset (RM1 (0) to RM1 (7)) different from (0) to RM0 (7)) are generated. In the present embodiment, a plurality of random number selection data (RCx0) and a random number (RMA) are used for selecting the random number (RM0 (0)) for generating probability, and a plurality of random number selections are used for selecting a random number for offset (RM1). Data (RCx1) and random number (R
MB) is used. Here, the random number selection data (RCx
0) and random number selection data (RCx1) are stored in the memory unit 1
8 sets of data stored in 0, the selected address (A of the probability comparison data set when the trigger signal is generated)
0, A1, A2), one of them is selected. Further, for the random number (RMA) and the random number (RMB), for example, bit00 to bit02 of the random number (RM2) obtained by the exclusive OR of the random number (RS1) and the random number (RS2) are set as the random number (RMA), and bit08 to bit10. Is a random number (RM
B). In the present embodiment, a random number randomly or randomly selected by the selected random number selection data (RCx0) or the random number (RMA) is set as the probability generation random number (RM0), and the selected random number selection data (RC
x1) or a random number randomly or randomly selected by the random number (RMB) is used as the offset random number (RM1). (See Table 1 and Table 2)

The random number for probability generation (RM0) described above
In the method for generating the offset random number (RM1), as shown in FIGS. 2 and 3, the processing random numbers (RB0, RB1, RB2, RB3) secured before the trigger signal is generated are used. This processing random number (RB0, R
B1, RB2, RB3) are secured at the time of generating the trigger signal or after the generation of the trigger signal, and thereafter, the source random number (RN0 to R
N3 and RS0 to RS3) may be generated.

Basic random numbers other than the above random numbers (RM3 to R
M7) is generated by exclusive OR of the original random numbers. For example, a random number (RM3) with (RSO) XOR (RS3)
Is a random number (RM4) with (RS0) XOR (RS2),
The random number (RM5) in (RN1) XOR (RN3) becomes (R
S1) XOR (RS3) and random number (RM6) becomes (RN
0) A random number (RM7) is generated by XOR (RN2).
These basic random numbers (RM3 to RM7) will be used in each control process described later.

[0101]

[Table 1]

[0102]

[Table 2]

Next, the fluctuation waveform generating section 40 will be described with reference to FIGS. Here, FIG. 8 shows the configuration of the fluctuation waveform generation unit 40, FIG. 9 shows the composition of the fluctuation waveform and the probability comparison data, FIG. 10 shows the composition waveform of the fluctuation waveform and the probability comparison data, and FIG. The structure of various fluctuation data stored is shown, and FIG. 12 shows a fluctuation waveform selection circuit.

As shown in FIG. 8, the fluctuation waveform generator 40 of this embodiment has a ROM 41 for storing the fluctuation waveform. In the present embodiment, this fluctuation waveform is composed of vertical (data amount) ± 1,024 and horizontal (time axis) 128,
As a basic waveform, a total of 16 sine waveforms, square waveforms, triangular waveforms, sawtooth waveforms, trapezoidal waveforms, normal distribution waveforms, parabolic waveforms, cubic clot waveforms, and other waveforms.
A pattern is prepared, and each waveform is set so that the average value of one cycle is “0”. Further, the fluctuation waveform A is output from the output (JB09) of the ROM 41.
Two fluctuation waveforms of (WAVA) and fluctuation waveform B (WAVA) are output.

The fluctuation waveform generator 40 is also composed of a control circuit, a first counter, a second counter, a third counter, an equal detector, a first converter, a first selector, a second selector and a third register. Waveform period control block 42, adder, third
A fluctuation waveform phase control block 43 composed of a selector and a third register, and a fluctuation waveform pattern selection block 4 composed of a third register, a fourth selector, a second converter, a sixth register, and a seventh register.
4, a polarity switching unit 45, a fifth selector, and a fourth register having a fluctuation waveform polarity switching block 45. In addition, the first register and the second register have basic random numbers (RM6, R) for each trigger signal (TRIG-S1).
M7) is latched and a 16-bit random number (RMH6, RMH7) used in the following fluctuation control is obtained. Here, in FIG. 8, numerical values added after RMH6 and RMH7 represent bit values of constituent random numbers.

The operation of the fluctuation waveform generator 40 having the above configuration will be described below.

First, in the fluctuation waveform period control block 42, the control circuit controls start, end, and restart of fluctuation waveform generation. The first trigger signal (TRIG-S1) after the power is turned on starts the fluctuation waveform, the count start signal (JP01-05), and the random number (RMH) for obtaining a random fluctuation waveform.
6, RMH7) acquisition signal (GET-EFF) is output. The fluctuation waveform is generated by the 1st counter from the 3rd counter.
Cycle end signal (JP01-04) or forced end signal (W
AVE-RS).

The second counter and the equal detector are provided with a count start signal (JP01-0) from the control circuit.
5) The source clock (J
(P01-02) is counted, and at a predetermined frequency division ratio (for example, 2 to 16) configured via the equal detector.
Divide) Output the reference clock (JP01-03). The third counter divides the reference clock (JP01-03) generated by the second counter by 128 to obtain phase data (JB06) of the ROM 41 for storing the fluctuation waveform.
Is output. The phase data (JB06) that constitutes one cycle of this fluctuation is input to the phase address (MWAL) of the ROM 41 via an adder described later. The third register holds various data, which will be described later, read from the memory unit 10 via the data bus (DA-BUS). The numerical value added after the output of the third register (CSWF) indicates the bit value.

The first counter has a trigger signal (T
RIG-S1) is frequency-divided by, for example, 4 and a frequency division pulse having a predetermined cycle is output. The first selector selects a frequency division pulse or a reference time signal (TIME) from the first counter.
-5) (for example, 10 seconds counting clock pulses)
Is the fluctuation reference axis selection data (WTRF) from the memory unit 10 shown in FIG. 11, that is, the output of the third register (CSWF-00, 01) or the fluctuation reference axis random number (RH6- 12) and randomly or randomly based on the source clock (J
It is output as P01-02).

The second selector is used to select the coefficient selection data (W
TSE), that is, the output of the third register (CSWF-0
2--05) or the random number (RH6-13 to -15) for selecting the coefficient of the fluctuation reference axis, and input the selected output (WTSD) to the equal detector via the first converter. Then, the cycle of the reference clock (JP01-03) is arbitrarily or randomly controlled according to each selection data.

The first converter outputs the selection output (WTSD) from the second selector to the memory unit 1 shown in FIG.
Fluctuation time-based conversion data from 0 (WTCN0-W
TCN7), that is, the output of the fifth register (JB03)
Data conversion based on. Next, in the fluctuation waveform phase control block 43, the third selector
The fluctuation WAVA phase data (WPHA) from the memory unit 10 shown in FIG. 11, that is, the output of the third register (CSWF-06 to -12) or the fluctuation WAVA phase data (WPWB), that is, the output of the third register. (CSW
F-13 to -19), or a random number for phase setting of fluctuation WAVA (RH6-00 to -06) or fluctuation WAV
Any of the phase setting random numbers B (RH7-00 to -06) is selected. Then, the selected output (WPHD) is added to the phase data (JB06) via the adder,
As a result, the fluctuation waveform WA output from the ROM 41
The phases of VA and the fluctuation waveform WAVB are controlled arbitrarily or randomly.

Next, in the fluctuation waveform pattern selection block 44, the fourth selector causes the selection data (WPSA) of the fluctuation waveform WAVA from the memory section 10 shown in FIG. 11, that is, the output (CSW) of the third register.
F-20 to -24) or fluctuation waveform WAFB selection data (WPSB), that is, the output of the third register (CSWF).
-25 to -29) or fluctuation waveform WAVA
Random number for selection (RH6-08 to -11) or fluctuation waveform WA
Select any of the random numbers for selection of VB (RH7-08 to -11) and input the selected output (MWNH) to the waveform address (MWAH) of the ROM 41 via the second converter described later, and each fluctuation waveform WAVA And fluctuation waveform WA
One of 16 types of fluctuation waveform patterns stored in ROM 41 for VB is randomly or randomly selected.
Allocate. The second converter outputs the selection output (MWNH) of the fourth selector to the memory unit 1 shown in FIG.
Fluctuation waveform conversion data from 0 (WPCN0 to WPCN)
15) That is, data conversion is performed based on the output (JB07) of the sixth register and the output (JB08) of the seventh register.

Next, in the fluctuation waveform polarity switching block 45, the fifth selector outputs the polarity selection data (WP0A) of the fluctuation waveform WAVA from the memory unit 10 shown in FIG. 11, that is, the output of the fourth register ( STD
1-28-29) or the polarity selection data (WP0B) of the fluctuation waveform WAVA, that is, the output of the fourth register (STD1
-30-31), or the random number (RH6-07) for polarity selection of the fluctuation waveform WAVA or the fluctuation waveform WAVA
Select any of the polarity selection random numbers (RH7-07) of
Select output (JP01-06) is output.

The polarity switching device outputs this selection output (JP0
1-06), the polarity of the fluctuation waveform WAVA and the polarity of the fluctuation waveform WAVA are set arbitrarily or randomly.
Then, the output (JB10) of the polarity switch is set in the register A and the register B of the next stage at a predetermined timing, and two fluctuation waveforms of WAVA and WAVAB are output.

As described above, in the fluctuation waveform generating section 40 of this embodiment, based on the random number (RMH6, RMH7) generated based on the first trigger signal (TRIG-S1) generated after the power is turned on. Select the fluctuation waveform, polarity, phase, cycle time and reference axis described above,
In addition, these are updated each time one fluctuation period ends. As a result, the probability generation can be given unexpectedness.

Further, the fluctuation waveform WAVA and the fluctuation waveform WAVB generated by the above operation are combined by a combiner as shown in FIG.
(Refer to the composite table of AVA and WAB), and the fluctuation selection data (P
Based on WS0 to PWS3), the second selector selects the big hit probability comparison data (P0), the small hit probability comparison data (P1), the big winning probability comparison data (P2), and the small winning probability comparison data (P3). Any one of the fluctuation waveform OFF, the fluctuation waveform WAVA, the fluctuation waveform WABB, and the composite waveform is arbitrarily selected for each time, and the fluctuation waveform data (WAVCS) is output from the second selector.

For example, the fluctuation selection data (PW
When S) is “0”, the fluctuation is turned off, when it is “1”, the fluctuation is WAVA, and when it is “2”, the fluctuation is WAVA,
When it is “3”, it is a composite waveform. The selection data (P
WS0 to PWS3) are a plurality of sets (8 in this embodiment).
Set) is prepared, and one set is selected and used according to the selected address (A0, A1, A2) at the time of setting the probability comparison data.

Further, as shown in FIG. 12, by inputting an arbitrary fluctuation selection random number (2 bits × 4) to the second selector, the fluctuation waveform is turned off and the fluctuation waveform WA.
It is also possible to randomly select VA, fluctuation waveform WABB, and composite waveform.

[0119]

[Table 3]

In Table 3 above, the composition of the fluctuation waveform WAVA and the fluctuation waveform WABB is divided into the polarity (+) or polarity (-) regions of the waveform, and the respective amplitudes are added to obtain 1/2.
It was done. Also in this case, the average of one cycle of the waveform is "0".

Next, based on FIG. 9 and FIG. 10, the fluctuation waveform data (WAVCS) generated in the above configuration.
The modulation (composition) of the comparison data using is described.

As shown in FIG. 9, the circuit for synthesizing the fluctuation waveform and the probability comparison data comprises a first multiplier, a second multiplier, and an adder / subtractor, and one input (B) of the first multiplier is For example, as shown in FIG. 10, fluctuation waveform data (WAVCS) forming a sine waveform having an amplitude of ± 1,024 and a time axis of 128 is input, and the other input (A) is input with the waveform of FIG.
Input the fluctuation coefficient (Kw) from the memory unit 10 shown in FIG.

The data range of this fluctuation coefficient (Kw) is
For example, 0 to 1,024, the output of this first multiplier is 1 / 1,024 by bit slice, and the output (WAVRE) adjusted by the fluctuation coefficient (Kw) in the range of 0 ± 100 × Kw% To get Next, the output (WAVRE) of the first adder is input to the input (B) on one side of the adder / subtractor, and fixed data 1,024 is input to the other input (A). Of the output of the adder / subtractor is 1/1024, and the output of the adder / subtractor is set to 1,024 ± 1024 × Kw. With this, the fluctuation coefficient (Kw) is adjusted in the range of 100 ± 100 × Kw%. Get the output (WAVAD).

Next, the output (WAVAD) of this adder / subtractor
To one input (B) of the second multiplier, and to the other input (A), the probability comparison data (PRS) of the memory unit 10 set in a predetermined register is input,
The output of this second multiplier is 1/1,
024, and the output (PAW) of the second multiplier is PRS ×
(1,024 ± 1,024 × Kw), so that the probability comparison data is PRS by the fluctuation coefficient (Kw).
Output (PW) adjusted (modulated) in the range of ± PRS × Kw
F) is obtained. The above "1 / 1,024" by the bit slice can be performed by cutting the lower 10 bits of each data.

Further, as shown in FIG. 11, a plurality of sets (for example, 8 sets in the present embodiment) of the fluctuation coefficients (Kw) are prepared and selected addresses (A0, A1, It is also possible to modulate the probability comparison data using one of the coefficients (Kwx) selected in A2).

Further, in the present embodiment, the probability value (PWC) of automatic fluctuation clearing of fluctuations from the memory section 10 shown in FIG. The random number obtained by the exclusive OR of (RS1) and the random number (RS3) is compared by a comparator, and when the probability value is entered, the compulsory termination number (WAV
E-RS) forcibly ends one cycle of fluctuation during operation. After the forced termination, the fluctuation operation is started by the next trigger signal (TRIG-S1) and by the newly set fluctuation waveform, polarity, phase, cycle time and various conditions of the reference axis. As a result, the probability generation can be given unexpectedness.

The random value randomly generated, for example, the random number obtained by the exclusive OR of the random number (RN0) and the random number (RN2), is added to the probability value (PWC) of the automatic fluctuation clearing of the fluctuation to make an offset. It is also possible to have. As a result, the probability generation can be given unexpectedness.
Note that this automatic fluctuation clearing function can be masked by mask data (SWFL) for automatic fluctuation clearing from the memory unit 10 shown in FIG.

As described above, according to this fall function, since the probability value of winning changes in a predetermined fluctuation cycle, it is possible to give the player more expectation and thrill. Furthermore, by sequentially changing the fluctuation cycle, fluctuation waveform, etc., the player will have a more thrilling and anticipating feeling in the fluctuation motion of a hit or miss that is completely unexpected.

Next, the fall generator 50 will be described with reference to FIGS. Here, FIG. 13 shows an example of the fall operation, FIG. 14 shows the configuration of the fall generation unit, FIG. 15 shows the combination of the probability comparison data and the fall, and FIG. 16 shows the probability comparison data stored in the memory unit. The structure of various fall data is shown.

The hole generating section 50 of this embodiment is similar to that shown in FIG.
, Control circuit, counter, comparator, register,
A fall generation block including an inverter, a first gate, an adder, a second gate, a selector, a combiner, etc., and a fall addition block including a third multiplier, a first adder, and a fourth multiplier shown in FIG. It has and.

In the fall generation block, the fall operation signal (ACTIV-F) from the control circuit is turned on by the first trigger signal (TRIG-S1) after the power is turned on, and the counter starts operating. That is, the counter counts up each time the trigger signal (TRIG-S1) is generated and generates a count output (CFN) proportional to the trigger signal. Further, the fall operation signal (ACTIV-F) is turned off by a clear signal (FALL-RH) when a hit occurs, which will be described later, or a compulsory clear signal (FALL-RT), which is generated when the time is over, and the counter operation is stopped. The fall operation is initialized.

In the present embodiment, the four values shown in FIG. 13 are obtained based on the count value (Nc) of the counter, the number of fall times (MF) and the fall selection (PFS) data stored in the memory unit 10 of FIG. Fall operations 0-3 can be performed. The fall selection data (PF
S) is extracted by the selector from the data bus (CSRP).

The fall operation of 0 to 3 will be described below with reference to FIGS. 13 and 14 and Table 4. Table 4 shows the states of the control signals of the input and output parts of the adder with respect to the fall selection data (PFS). This control signal JP02-
1st gate, adder, 2nd
The gate is controlled, and the following fall operation is appropriately performed.

First, in the fall operation (1), PFS = "0".
0 ”and no fall operation is performed. In this case, J
All of P02-01 to -03 are always "0", and the fall output (FRO) is "0".

Next, in the fall operation (2), PFS = "0".
1 ”, and rises with a slope of Nf / Nc = 1 from the beginning. That is, in this case, JP02-01 is always "0",
JP02-02, 03 becomes "1", and the counter output (CFN) is directly output through the adder. Therefore, the probability increases from a trigger signal generation (start of lottery) until a hit occurs at a uniform increase rate from a preset initial value.

Next, in the fall operation (3), PSF = "1".
0 ', and rises from Nc = MF with a slope of Nf / Nc = 1. That is, the comparator compares the number of falls (MF) latched in the register with the counter output (CFN), and if the counter output (CFN) is greater than or equal to the number of falls (MF), JP02-01 to 03 indicate "1." , And the inverter, the first gate, the second gate, the adder, and the combiner output the counter (CFN) to the number of falls (MF).
Is subtracted, and the subtraction data is used as a fall output (FRO). In other cases, JP02-02 and 03 become "0", and the fall output (FRO) is forced to "0". Therefore, the probability is fixed to the initial probability value from the start of the lottery to a certain number of deviations, and thereafter increases at a uniform increase rate until a hit occurs.

The fall operation (4) occurs when PSF = "11", and Nf = 1,024 from Nc = MF. That is,
A comparator compares the number of fall times (MF) latched in the register with the counter output (CFN). If the counter output (CFN) is greater than or equal to the number of fall times (MF), JP
02-01, 03 becomes "1", the inverter, the first
The gate, the second gate, the adder, and the combiner set a constant value, for example, 1,024 as the fall output (FRO). In other cases, JP02-3 becomes "0", and the fall output (FRO) becomes "0". 0 ”. Therefore, the probability is fixed to the initial probability value from the start of the lottery to a certain number of deviations, and is fixed to a constant high probability thereafter until a hit occurs.

In this embodiment, a plurality of (8 sets) fall count data (MFx) is stored in the memory unit 10, and the comparison data set selection address (A0,
One of them is selected by A1, A2) and DA-
It is set in the register via BUS.

[0139]

[Table 4]

As shown in FIG. 15, in the fall addition block, the fall output (FRO) is input to one input (A) of the third multiplier and the other input (B) is input.
Is input with the fall coefficient (KF) from the memory unit 10 shown in FIG. 16 via a register. The data range of this fall coefficient (KF) is, for example, 0 to 65,536.
And the output of this third multiplier is set to 1 by bit slicing.
/ 1024, and by the fall coefficient (KF),
Output adjusted in the range of 0 to 6,400 x KF% (FA
LRE).

Next, the output of the third multiplier (FALR
E) is input to the input (B) on one side of the first adder, and the other input (A) is, for example, 1,0 of fixed data.
24, the output of the first adder is 1 / 1,024 by bit slice, and the output of the first adder is 1,0.
24 + 1,024 × KF, which gives an output (FALDA) adjusted by the fall coefficient (KF) in the range of 100 + 100 × KF%.

Next, the output of the first adder is input to the input (A) on one side of the fourth multiplier 4, and the other input (B) is input to the memory section 10 set in a predetermined register. The probability comparison data (PRS) of
The output of the multiplier is 1 / 1,024 by the bit slice, and the output of the fourth multiplier is PRS × (1,024 + 1,2).
04 × KF), and the fall coefficient (KF)
Thus, an output (PWF) in which the comparison data is adjusted in the range of PRS + PRS × KF is obtained. The above "1 / 1,024" by the bit slice can be performed by cutting the lower 10 bits of each data.

Further, as shown in FIG. 16, a plurality of sets of fall coefficients (KF) (for example, 8 in this embodiment) are used.
It is also possible to prepare and perform the fall operation of the probability comparison data using one of the coefficients (KFx) selected by the selection address (A0, A1, A2) of the probability comparison data set when the trigger signal is generated. Is.

The above-described fall operation is initialized by the clear signal (FALL-RH) when a hit occurs, and a new fall operation is performed by the next trigger signal (TRIG-S1). This hit can be a big hit or a small hit. In this case, the memory unit 1 shown in FIG.
One of a plurality of sets of fall selection data for big hits (PFSx0) and fall selection data for small hits (PFSx1) stored in 0 is selected as a selection address (A0, A1, It will be selected and used in A2).

Further, in this embodiment, it is also possible to store the fall end mask (SF) in the memory section 10 of FIG. 16 to mask the end of the hall operation when a small hit occurs.

Further, in the present embodiment, the fall automatic forced clear time (TFC) is stored in the memory section 10 of FIG. 16, and the automatic forced clear time (TFC) and the time when the trigger signal (TRIG-S1) is generated. The intervals are compared, and when the trigger signal generation time interval becomes larger than the set value of the automatic forced clear time (TFC), a clear signal (FALL-RT) is generated and the fall operation is automatically terminated. Next trigger signal (T
It is also possible to perform a new fall operation in RIG-S1).

The automatic forced clear function of the fall operation can be masked by the mask data (SWFH) for automatic forced clear of the fall stored in the memory section 10 of FIG.

As described above, according to this fall function, the probability of non-winning becomes significantly lower as the number of times of lottery (the number of consecutive losses) increases, so that there is almost no possibility of serious damage to the player. It is possible to give the player a sense of expectation and fair sociability (prevention of major losses). As a result, it is possible to realize high game play and gambling play. Furthermore, by changing the increase coefficient pattern of the probability for each cycle of the probability variation, a new unexpected variation of the probability is obtained each time the hit occurs, and the player has a higher expectation.

Next, the synthesizing unit 60 will be described with reference to FIG. FIG. 17 shows the composition of fluctuation and fall. As shown in FIG. 17, the synthesizing unit 60 of the present embodiment is
Fluctuation output (PAW) from the above-mentioned fluctuation addition block composed of the first multiplier, the adder / subtractor, and the second multiplier
And the Hall output (FALAD) from the above-described Hall addition block composed of the third multiplier and the first adder are combined by the fourth multiplier to obtain the combined output (PWF). The combined output is [PRS x (WAVCS x Kw /
1,024 + 1,024) / 1,024] × [FRO ×
KF / 1,024 + 1,024] / 1,024.
With the above-described configuration, the fluctuation function and the fall function are added to the probability comparison data, and it is possible to generate the probability that has the unexpectedness due to the fluctuation function and the fair sociability (prevention of major losses) due to the fall function.

Next, the probability generator 90 will be described with reference to FIGS. 7 and 18 to 22. Here, FIG. 7 shows the structure of the probability switching rate stored in the memory unit, FIG. 18 shows the structure of the probability generation unit, FIG. 19 shows the relation between the assembly of the probability comparison data and the addition of the offset, and FIG. 21 shows the relationship between the probability comparison data and the probability generation random numbers, FIG. 21 shows a judging device in which the boundary points due to the fluctuation of the offset are added, and FIG. 22 shows the structure of the probability comparison data set stored in the memory unit.

The probability generator 90 of this embodiment shown in FIG.
Includes the assembling offset adding section 70 and the comparing / determining section 80. The assembly offset adding section 70
Is composed of four registers of 1st to 4th and 7 adders of 1st to 7th, and the comparison / determination unit 80 is the first
˜9th nine comparators, first to fourth four determinators, and fifth register. The memory unit 10
In advance, the probability comparison data (P
0 to P3) (this is one set) are stored, of which comparison data (P0) is for big hits, probability comparison data (P1) is for small hits, probability comparison data (P2) is for big jobs , And the probability comparison data (P3) is used as data for a small winning combination.

In the above structure, first, the probability comparison data (P0 to P3) in the memory section 10 is read out and the probability comparison data (P00) for big hits and the small hits are put in the first to fourth registers. Probability comparison data (P1
0), probability comparison data for large combination (P20), and probability comparison data for small combination (P30).

Next, the set probability comparison data (P0
0) and the probability comparison data (P10) are added by the first adder to obtain addition data (PA0).
0) and the probability comparison data (P20) are added by the second adder to obtain addition data (PA1).
The probability comparison data (P30) is added to 1) by the third adder to obtain addition data (PA2).

Next, the fourth adder adds the probability comparison data (P00) and the offset random number RM1 to obtain the offset probability comparison data (PB0), and the fifth adder adds the addition data (PA0). And random number for offset (R
Probability comparison data (P
B1) is obtained, and the addition data (PA1) is obtained by the sixth adder.
And the offset random number (RM1) are added to obtain the offset probability comparison data (PB2). The seventh adder adds the addition data (PA2) and the offset random number (RM).
Probability comparison data (PB
3) is obtained.

Next, the second comparator compares the offset random number (RM1) with the probability comparison data (PB0), and the fourth comparator compares the probability comparison data (PB0) with the probability comparison data (PB1). Then, the sixth comparator compares the probability comparison data (PB1) with the probability comparison data (PB2), and the eighth comparator compares the probability comparison data (PB2) with the probability comparison data (PB3). Obtain the boundary points between the probability comparison data and the probability expansion area. Here, depending on the value of the probability comparison data (P00 to P30) and the offset random number (RM1) (which changes every time as described above), one of the probability comparison data (PB0 to PB3) is shown in FIG.
Boundary points (FFFFh and 000
0h) exists.

Next, the first comparator compares the offset random number (RM1) with the probability generation random number (RM0), and the third comparator compares the probability comparison data (PB0) with the probability generation random number (RM0). And the fifth comparator compares the probability comparison data (PB1) with the probability generation random number (RM0), and the seventh comparator compares the probability comparison data (PB2) with the probability generation random number (RM0). Then, by the 9th comparator,
Probability comparison data (PB3) and probability generation random number (RM0)
And comparing the comparison data with the probability comparison data and the boundary points of the probability expansion area, and
~ The fourth determiner determines whether to hit or miss, and generates a big hit (HIT0), a small hit (HIT1), a big win (HIT2), a small win (HIT3), or a miss signal as a hit signal.

FIG. 20 shows the relationship between the probability comparison data (PB0) by the first decision unit, the probability generation random number (RM0), the offset random number (RM1), and the big hit (HIT0). PB0> RM1 When PB0 = PM1, there is no hit, and P is between RM1 and PB0.
When B0 <PM1, the boundary point of the probability expansion area (FFF
There is a hit above RM1 including Fh and 0000h) and below PB0.

FIG. 21 shows the internal structure of the first judging device in consideration of the limit point due to the fluctuation of the offset.
It is composed of a gate circuit by R. In addition, small hit (H
The same determination process is performed for IT1), the major role (HIT2), and the minor role (HIT3). The hit signals (HIT1 to HIT3) are set in the fifth register at the timing after the probability generation is completed. It is held until the next probability generation is completed.

In the above embodiment, one set is used as the probability comparison data for the big hit, the small hit, the big win, and the small win. However, as shown in FIG. 22, a plurality of sets (for example, 8 sets) are stored in the memory unit 10. ), The probability comparison data set may be stored, and the probability comparison data set designated by the selection address (A0, A1, A2) of the probability comparison data set may be selected to generate the probability. As a result, the probability of a big hit, a small hit, a big win, and a small win changes every time the probability is generated.

Among the above, in generating probability comparison data for big hits and small hits, a plurality of probability comparison data (Px0a), probability comparison data (Px0b) and small hits for the big hit are stored in the memory unit 10. Probability comparison data (Px1a), probability comparison data (Px1b), and
The probability switching rate (Ra) for switching the a group / b group of each probability comparison data is stored, and the selection address (A0, A1, A of the probability comparison data set when the trigger signal is generated is stored.
In 2), a set of probability comparison data for big hits (Px0a, Px0b) and a set of probability comparison data for small hits (Px1a, Px1b) from the plurality of probability comparison data.
Is selected, and the random number obtained by the exclusive OR of the random number (RS0) and the random number (RS3) is used as the probability switching random number (RM3) of the a group / b group, and the probability switching random number (RM3) is selected.
And probability switching rate (Ra) are compared, based on the comparison result, either probability comparison data (Px0a) or probability comparison data (Px0b) is selected to be probability comparison data (P00) for jackpot, It is also possible to select either the probability comparison data (Px1a) or the probability comparison data (Px1b) as the probability comparison data (P10) for the small hit (see FIG. 7). In this case, as shown in FIG. 7, a plurality of probability switching rates (Rax) corresponding to the probability comparison data are stored in the memory unit 10, and the selected address (A
0, A1, A2) probability comparison data (Px
0a, Px0b) and probability comparison data for small hits (P
x1a, Px1b) and the probability switching rate (Rax) may be selected. With this, a big hit for each probability generation,
The odds of a small hit change, and unexpectedness and excellent fraud prevention function can be realized.

As described above, according to this offset addition function, since the data (random number) for probability generation and probability comparison changes every trigger signal, the probability of not having regularity, correlation, or periodicity. Can be generated, so that illegal reading of internal data and prediction of data content are virtually impossible. As a result, it is possible to realize the unexpectedness and the excellent fraud prevention function. In the probability generation unit 90 having the above configuration,
It is of course possible to eliminate the offset of the probability comparison data (P0 to P3) by using the fixed probability reference comparison data “000H” instead of the offset random number (PM1).

As shown in FIG. 1, the hit signal (HI
At the same time as outputting T0 to HIT3, for example, a random number (R
By outputting M4) and a random number (RM5) as auxiliary random numbers and using them for detailed roles, patterns, etc., it is possible to realize a gaming machine or the like with high gambling.

Further, a hit signal (HIT0 to HIT3)
18 at the same time as outputting the random number for probability generation (RM0), the random number for offset (RM1), the probability comparison data (PB0), the probability comparison data (PB1), the probability comparison data (PB2), and the probability comparison data (PB3). , Or random number for probability generation (RM0) and probability comparison data (P0
0) and probability comparison data (PA0) and probability comparison data (P
Although not shown, A1) and probability comparison data (PA2)
The validity of the probability can be easily confirmed by directly, optically, or outputting in a radio wave in a serial format, and verifying the appearance uniformity of the random numbers with this serial data.

[0164]

As described above, according to the present invention as set forth in claims 1 to 19, since the data (random number) for probability generation and probability comparison changes every trigger signal, It is possible to generate a probability that does not have regularity, correlation, or periodicity, so that illegal reading of internal data and prediction of data content are virtually impossible, and unexpectedness and excellent fraud prevention function can be realized.

Further, according to the present invention as set forth in claims 20 to 44, since the winning probability value fluctuates in a predetermined fluctuation cycle, it is possible to give the player further expectation and thrill. . Furthermore, by successively changing the fluctuation cycle, fluctuation waveform, etc., the player will have a more thrilling and anticipating feeling in the fluctuation motion of a hit or miss that is completely unexpected.

Further, according to the present invention as set forth in claims 45 to 57, the probability of non-winning becomes significantly lower as the number of times of lottery (the number of consecutive losses) increases, so that a great loss can be given to the player. It is possible to almost eliminate the sex, and to give the player a sense of expectation and fair sociability (prevention of major losses). As a result, it is possible to realize high game play and gambling play. Furthermore, by changing the increase coefficient and the increase pattern of the probability for each cycle of the probability fluctuation, a new unexpected fluctuation of the probability can be obtained each time a hit occurs, and the player has a higher expectation. Become.

Further, according to the present invention of claim 58, since the auxiliary random numbers simultaneously output also have a surprising property, if this is used for a detailed role or a pattern, a game with a higher gambling property can be obtained. Machine, etc. can be realized.

According to the 59th aspect of the present invention, the validity of the probability can be confirmed by easily verifying the appearance uniformity of the random number by the serial data.

[Brief description of drawings]

FIG. 1 is a schematic block diagram showing the overall configuration of a probability generation device according to the present invention.

FIG. 2 is a block diagram showing the configuration of a parallel random number generation unit.

FIG. 3 is a diagram showing generation of a source random number.

FIG. 4 is a diagram showing generation of basic random numbers based on source random numbers.

FIG. 5 is a selection circuit diagram of a random number for probability generation and a random number for offset.

FIG. 6 is a diagram showing a configuration of probability comparison data and random number selection data stored in a memory unit.

FIG. 7 is a diagram showing a configuration of a probability switching rate stored in a memory unit.

FIG. 8 is a block diagram showing a configuration of a fluctuation waveform generation unit.

FIG. 9 is a block diagram showing synthesis of a fluctuation waveform and probability comparison data.

FIG. 10 is a composite waveform diagram of a fluctuation waveform and probability comparison data.

FIG. 11 is a diagram showing a configuration of various fluctuation data stored in a memory unit.

FIG. 12 is a block configuration diagram of a fluctuation waveform selection circuit.

FIG. 13 is a diagram showing an example of a fall operation.

FIG. 14 is a block diagram showing the configuration of a fall generation unit.

FIG. 15 is a block diagram showing synthesis of probability comparison data and a fall.

FIG. 16 is a diagram showing a configuration of probability comparison data and various fall data stored in a memory unit.

FIG. 17 is a block diagram showing composition of fluctuation and fall.

FIG. 18 is a block diagram showing the configuration of a probability generation unit.

FIG. 19 is a diagram showing a relationship between assembling probability comparison data and adding an offset.

FIG. 20 is a diagram showing the relationship between probability comparison data and probability generation random numbers.

FIG. 21 is an internal configuration diagram of a determiner in which a boundary point due to a change in offset is added.

FIG. 22 is a diagram showing a structure of a probability comparison data set stored in a memory unit.

[Explanation of symbols]

1 Probability generator 10 Memory section 20 Control circuit section 30 Parallel random number generator 40 Fluctuation generator 50 Fall generator 60 Synthesis Department 70 Assembly offset addition section 80 Comparison / judgment unit 90 Probability generator

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Misako Koibuchi             5-36-11 Shimbashi, Minato-ku, Tokyo Iwakiden             Child Co., Ltd. F term (reference) 2C088 AA33 EA10

Claims (63)

[Claims] 1. A probability generation device comprising a parallel random number generator for continuously generating random numbers having uniformity, and generating a probability of hit / miss based on the random number, in which two sets are set based on a trigger signal. Other random number (RM1) for securing probability of one random number (RM0) and other random number (RM1)
Is used for offset of probability comparison data, and plural probability comparison data prepared in advance are set in registers respectively, and probability comparison data (P00) for big hits, probability comparison data (P10) for small hits, and Probability comparison data (P20), probability comparison data for small roles (P30),
The probability comparison data (P00) and the probability comparison data (P10) are added, the probability comparison data (P20) is added to the addition data (PA0), and the probability comparison data (P30) is added to the addition data (PA1). ) Is added,
Obtain addition data (PA2). Further, the probability comparison data (P00) and the respective addition data (PA0, PA1, P
The offset random number (RM1) is added to A2) to obtain the offset probability comparison data (PB0), probability comparison data (PB1), probability comparison data (PB2), and probability comparison data (PB3). Random number (R
M1) and probability comparison data (PB0), the probability comparison data (PB0) and probability comparison data (PB1), the probability comparison data (PB1) and probability comparison data (PB2), the probability comparison data (PB2) and probability comparison Data (PB3)
Are compared with each other by a comparator to obtain boundary points (points at which the maximum value changes to the minimum value) between the probability comparison data and the probability expansion area, and the random number for the offset (RM
1), probability comparison data (PB0), probability comparison data (PB0)
B1), the probability comparison data (PB2), the probability comparison data (PB3), and the random number for probability generation (RM0) are respectively compared by a comparator, and the respective comparison results include the probability comparison data and the probability expansion area. Boundary points are taken into consideration, and each of the judging devices judges whether or not it is a hit or a hit.
2), a small role (HIT3) or a probability generation device characterized by generating an outlier signal. 2. Each of the hit signals (HIT0, HIT1,
The probability generating device according to claim 1, wherein (HIT2, HIT3) is held in the register until the next probability generation is completed. 3. The plurality of probability comparison data (P00, P
10, P20, P30), a plurality of sets are prepared, and any one of the sets is selected to generate a probability, and the probability generating apparatus according to claim 1 or 2. 4. A set of two processing random numbers (RB0, RB1) is secured, and a plurality of random numbers obtained after securing the processing random numbers constitute a two-block group, and the processing random number (RB0) is used. A random number (RN0) selected from the random number group of the one block based on the extracted address data (Y0) is used as the random number for generating probability (RM0).
And the random number (RN1) selected from the random number group of the other block based on the address data (Y1) extracted by the processing random number (RB1) is used as the offset random number (RM1). The probability generation device according to any one of claims 1 to 3. 5. A pair of random numbers for processing (RB0, RB1) are secured, and a random number group is composed of a plurality of random numbers obtained after securing the random numbers for processing, and the random number for processing (RB0) is used. A random number obtained by rotating a random number (RN0) selected from the random number group of the one block based on the extracted address data (Y0) by the rotation amount (X0) extracted by the processing random number (RB0). (RS
0) as the probability generating random number (RM0), and the random number (RN1) selected from the random number group of the other block based on the address data (Y1) extracted by the processing random number (RB1). Random number (RS1) obtained by rotating with the rotation amount (X1) extracted by the processing random number (RB1)
Is a random number for the offset (RM1), The probability generation device according to any one of claims 1 to 3. 6. A set of two processing random numbers (RB0, RB1) is secured, and a plurality of random numbers obtained after securing the processing random numbers configures a random number group into two blocks, and the processing random number (RB0) is used. A random number (RN0) selected from the random number group of the one block based on the extracted address data (Y0) is used in the rotation amount (X0) and the rotation direction (Z0) extracted by the processing random number (RB0). The random number (RS0) obtained by rotating is the random number for generating probability (RM0)
In addition, the random number (RN1) selected from the random number group of the other block based on the address data (Y1) extracted by the processing random number (RB1) is rotated by the processing random number (RB1). Quantity (X1) and rotation direction (Z
The random number (RS1) obtained by rotating in 1) is used as the offset random number (RM1), and the probability generating device according to any one of claims 1 to 3. 7. Four sets of processing random numbers (RB0, RB1, R)
B2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into 4 blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
The random number (RN0, RN1, RN2, RN3) selected from each of the four random number groups based on
Random number (R) obtained by exclusive OR of N0) and random number (RN1)
M0 (5)) is used as the probability generation random number (RM0), and the random number (RM1 (5)) obtained by exclusive OR of the random number (RN2) and the random number (RN3) is used as the offset random number (RM1). The probability generating device according to any one of claims 1 to 3, wherein: 8. A set of four processing random numbers (RB0, RB1, R)
B2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into 4 blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN1, RN2, RN3) is the processing random number (RB
0, RB1, RB2, RB3) extracted rotation amount (X
0, X1, X2, X3) Random number (RS
0, RS1, RS2, RS3), and the random number (RS
0) and a random number (RMO (7)) obtained by exclusive OR of the random number (RS1) are used as the probability generation random number (RM0), and the random number (RS2) and the random number (RS3) are exclusive. The random number (RM1 (7)) obtained by logical sum is used as the offset random number (RM1).
4. The probability generating device according to claim 3. 9. Four sets of processing random numbers (RB0, RB1, R)
B2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into 4 blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN1, RN2, RN3) is the processing random number (RB
0, RB1, RB2, RB3) extracted rotation amount (X
0, X1, X2, X3) and rotation direction (Z0, Z1, Z
Random number (RS0, RS1, R
Random number (RMO (7)) obtained by exclusive OR of the random number (RS0) and the random number (RS1) using S2, RS3).
Is the random number for generating probability (RM0), and the random number (RM1 (7)) obtained by exclusive OR of the random number (RS2) and the random number (RS3) is the random number for offset (RM).
1) The probability generator according to any one of claims 1 to 3. 10. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
1, RN3) is rotated by the rotation amounts (X1, X3) extracted by the processing random numbers (RB1, RB3) to obtain the random number (RN0) and the random number (RS0). Random number (RM0) obtained by exclusive OR of RS1)
(4)) is the random number for generating probability (RM0), and the random number (RM1 (4)) obtained by exclusive OR of the random number (RN2) and the random number (RS3) is the random number for offset (RM1). ) The probability generator according to any one of claims 1 to 3. 11. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
1, RN3) is extracted by the processing random numbers (RB1, RB3) and the rotation amount (X1, X3) and the rotation direction (Z1, Z).
Using the random numbers (RS1, RS3) obtained by rotating in 3),
The random number (RM0 (4)) obtained by the exclusive OR of the random number (RN0) and the random number (RS1) is set as the probability generation random number (RM0), and the random number (RN2) and the random number (RS3). Random number (RM1
(4)) is the random number for the offset (RM1), The probability generation device according to any one of claims 1 to 3. 12. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN2) is rotated by the rotation amount (X0, X2) extracted by the processing random number (RB0, RB2) to obtain the random number (RN1) and the random number (RS0, RS2). Random number (RM0) obtained by exclusive OR of RS0)
(6)) is the probability generation random number (RM0), and the random number (RM1 (6)) obtained by the exclusive OR of the random number (RN3) and the random number (RS2) is the random number for offset (RM1). ) The probability generator according to any one of claims 1 to 3. 13. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN2) and the rotation amount (X0, X2) and the rotation direction (Z0, Z) extracted by the processing random number (RB0, RB2).
Using the random numbers (RS0, RS2) obtained by rotating in 2),
The random number (RM0 (6)) obtained by the exclusive OR of the random number (RN1) and the random number (RS0) is used as the probability generation random number (RM0), and the random number (RN3) and the random number (RS2). Random number (RM1
(6)) is the random number for the offset (RM1), The probability generator according to any one of claims 1 to 3. 14. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN1, RN2, RN3) is the processing random number (RB
0, RB1, RB2, RB3) extracted rotation amount (X
0, X1, X2, X3) and rotation direction (Z0, Z1, Z
Random number (RS0, RS1, R
S2, RS3), the random number (RN0) is a random number (RM0 (0)), the random number (RN1) is a random number (RM0 (1)), and the random number (RS0) is a random number (RM0 (2)). And the random number (R
S1) is a random number (RM0 (3)), and the random number (RN
0) and the random number (RS1) obtained by the exclusive OR of the random numbers (RM0 (4)), and the random number obtained by the exclusive OR of the random number (RN0) and the random number (RN1). RM
0 (5)), the random number (RN1) and the random number (RS
Random number (RM0 (6)) obtained by exclusive OR of 0)
And a random number obtained by an exclusive OR of the random number (RS1) and the random number (RS0) is a random number (RM0 (7)), and the random number (RN2) is a random number (RM1 (0)). Let the random number (RN3) be the random number (RM1 (1)),
A random number obtained by an exclusive OR of the random number (RN2) and the random number (RS3), where the random number (RS2) is the random number (RM1 (2)), the random number (RS3) is the random number (RM1 (3)). Be a random number (RM1 (4)), and the random number (RN2)
The random number obtained by the exclusive OR of the random number (RN3) and the random number (RN3) is defined as the random number (RM1 (5)), and the random number obtained by the exclusive OR of the random number (RN3) and the random number (RS2) is the random number (RM1).
(6)), the random number (RS3) and the random number (RS
The random number obtained by the exclusive OR of 2) is a random number (RM1 (7))
The random number selected from the random numbers (RM0 (0) to RM0 (7)) by the random number selection data (RC0) prepared in advance is used as the probability generation random number (RM0).
The random number selected by a random number selection data (RC1) prepared in advance from among the random numbers (RM1 (0) to RM1 (7)) is used as the offset random number (RM1). 4. The probability generating device according to claim 3. 15. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN1, RN2, RN3) is the processing random number (RB
0, RB1, RB2, RB3) extracted rotation amount (X
0, X1, X2, X3) and rotation direction (Z0, Z1, Z
Random number (RS0, RS1, R
S2, RS3), the random number (RN0) is a random number (RM0 (0)), the random number (RN1) is a random number (RM0 (1)), and the random number (RS0) is a random number (RM0 (2)). And the random number (R
S1) is a random number (RM0 (3)), and the random number (RN
0) and the random number (RS1) obtained by the exclusive OR of the random numbers (RM0 (4)), and the random number obtained by the exclusive OR of the random number (RN0) and the random number (RN1). RM
0 (5)), the random number (RN1) and the random number (RS
Random number (RM0 (6)) obtained by exclusive OR of 0)
And a random number obtained by an exclusive OR of the random number (RS1) and the random number (RS0) is a random number (RM0 (7)), and the random number (RN2) is a random number (RM1 (0)). Let the random number (RN3) be the random number (RM1 (1)),
A random number obtained by an exclusive OR of the random number (RN2) and the random number (RS3), where the random number (RS2) is the random number (RM1 (2)), the random number (RS3) is the random number (RM1 (3)). Be a random number (RM1 (4)), and the random number (RN2)
The random number obtained by the exclusive OR of the random number (RN3) and the random number (RN3) is defined as the random number (RM1 (5)), and the random number obtained by the exclusive OR of the random number (RN3) and the random number (RS2) is the random number (RM1).
(6)), the random number (RS3) and the random number (RS
The random number obtained by the exclusive OR of 2) is a random number (RM1 (7))
Then, a random number selected from the random numbers (RM0 (0) to RM0 (7)) by one of a plurality of random number selection data (RCx0) prepared in advance is used as the probability generation random number (RM).
0) and the random numbers (RM1 (0) to RM1).
The offset random number (RM1) is a random number selected by one of a plurality of random number selection data (RCx1) prepared in advance from (7)). Item 4. The probability generator according to any one of items 3 to 3. 16. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN1, RN2, RN3) is the processing random number (RB
0, RB1, RB2, RB3) extracted rotation amount (X
0, X1, X2, X3) and rotation direction (Z0, Z1, Z
Random number (RS0, RS1, R
S2, RS3), the random number (RN0) is a random number (RM0 (0)), the random number (RN1) is a random number (RM0 (1)), and the random number (RS0) is a random number (RM0 (2)). And the random number (R
S1) is a random number (RM0 (3)), and the random number (RN
0) and the random number (RS1) obtained by the exclusive OR of the random numbers (RM0 (4)), and the random number obtained by the exclusive OR of the random number (RN0) and the random number (RN1). RM
0 (5)), the random number (RN1) and the random number (RS
Random number (RM0 (6)) obtained by exclusive OR of 0)
And a random number obtained by an exclusive OR of the random number (RS1) and the random number (RS0) is a random number (RM0 (7)), and the random number (RN2) is a random number (RM1 (0)). Let the random number (RN3) be the random number (RM1 (1)),
A random number obtained by an exclusive OR of the random number (RN2) and the random number (RS3), where the random number (RS2) is the random number (RM1 (2)), the random number (RS3) is the random number (RM1 (3)). Be a random number (RM1 (4)), and the random number (RN2)
The random number obtained by the exclusive OR of the random number (RN3) and the random number (RN3) is defined as the random number (RM1 (5)), and the random number obtained by the exclusive OR of the random number (RN3) and the random number (RS2) is the random number (RM1).
(6)), the random number (RS3) and the random number (RS
The random number obtained by the exclusive OR of 2) is a random number (RM1 (7))
And is prepared in advance, and the random numbers (RM0 (0) to RM0
Random number selection data (RC0) for selecting one of (7)) and an arbitrary random number (RMA) for randomly selecting one of the random numbers (RM0 (0) to RM0 (7)), and prepared in advance, Random number selection data (RC1) for selecting one of the random numbers (RM1 (0) to RM1 (7)) and the random number (RM).
1 (0) to RM1 (7)) and an arbitrary random number (RMB) that randomly selects one of the random number selection data (RC0) or the random number (RM).
The random number selected by A) is the random number for generating the probability (RM).
0) and at the same time, the random number selected by the random number selection data (RC1) or the random number (RMB) is used as the offset random number (RM1). Probability generator described in. 17. Four sets of processing random numbers (RB0, RB1,
RB2, RB3), and a plurality of random numbers obtained after securing the processing random number configures a random number group into four blocks, and the address data (RB0, RB1, RB2, RB3) extracted by the processing random number (RB0, RB1, RB2, RB3) (Y0, Y1, Y2, Y3)
Random number (RN0, RN1, RN2, RN3) selected from each of the random number groups of the above four blocks and the random number (RN
0, RN1, RN2, RN3) is the processing random number (RB
0, RB1, RB2, RB3) extracted rotation amount (X
0, X1, X2, X3) and rotation direction (Z0, Z1, Z
Random number (RS0, RS1, R
S2, RS3), the random number (RN0) is a random number (RM0 (0)), the random number (RN1) is a random number (RM0 (1)), and the random number (RS0) is a random number (RM0 (2)). And the random number (R
S1) is a random number (RM0 (3)), and the random number (RN
0) and the random number (RS1) obtained by the exclusive OR of the random numbers (RM0 (4)), and the random number obtained by the exclusive OR of the random number (RN0) and the random number (RN1). RM
0 (5)), the random number (RN1) and the random number (RS
Random number (RM0 (6)) obtained by exclusive OR of 0)
And a random number obtained by an exclusive OR of the random number (RS1) and the random number (RS0) is a random number (RM0 (7)), and the random number (RN2) is a random number (RM1 (0)). Let the random number (RN3) be the random number (RM1 (1)),
A random number obtained by an exclusive OR of the random number (RN2) and the random number (RS3), where the random number (RS2) is the random number (RM1 (2)), the random number (RS3) is the random number (RM1 (3)). Be a random number (RM1 (4)), and the random number (RN2)
The random number obtained by the exclusive OR of the random number (RN3) and the random number (RN3) is defined as the random number (RM1 (5)), and the random number obtained by the exclusive OR of the random number (RN3) and the random number (RS2) is the random number (RM1).
(6)), the random number (RS3) and the random number (RS
The random number obtained by the exclusive OR of 2) is a random number (RM1 (7))
And is prepared in advance, and the random numbers (RM0 (0) to RM0
(7)) A plurality of random number selection data (RC
x0) and an arbitrary random number (RMA) that randomly selects one of the random numbers (RM0 (0) to RM0 (7)), and the random numbers (RM1 (0) to RM1) prepared in advance.
(7)) A plurality of random number selection data (RC
x1) and an arbitrary random number (RMB) that randomly selects one of the random numbers (RM1 (0) to RM1 (7)), and one of the plurality of random number selection data (RCx0) The selected random number or the random number selected by the random number (RMA) is used as the probability generating random number (RM0), and the random number selected by one of the plurality of random number selection data (RCx1) or the random number. The probability generation device according to any one of claims 1 to 3, wherein the random number selected by (RMB) is the offset random number (RM1). 18. A plurality of probability comparison data (P
x0a), probability comparison data (Px0b), and a plurality of probability comparison data for small hits (Px1a), probability comparison data (P
x1b) and a probability switching rate (Ra) for switching the a / b groups of the probability comparison data, and a set of probability comparison data (Px0a, Px0a, Px0b) and a set of probability comparison data for small hits (Px1a, Px1b) are selected, and random numbers randomly generated based on the processing random numbers (RB0 to RB3) are used for probability switching of the a group / b group. Random number (RM
3), the probability switching random number (RM3) is compared with the probability switching rate (Ra), and either the probability comparison data (Px0a) or the probability comparison data (Px0b) is based on the comparison result. Is selected as the probability comparison data (P00) for the big hit, and the probability comparison data (Px1a) or the probability comparison data (Px1b).
Of the probability comparison data (P
10) The claim 4 to claim 17 characterized in that
The probability generating device according to any one of 1 to 3 above. 19. A plurality of probability comparison data (P
x0a), probability comparison data (Px0b), and a plurality of probability comparison data for small hits (Px1a), probability comparison data (P
x1b), and a plurality of probability switching rates (Rax) that are set correspondingly and that switch a group / b group of each probability comparison data, are prepared in advance, and a set of a plurality of probability comparison data sets is prepared from the plurality of probability comparison data. Probability comparison data for big hits (Px0a, Px0b) and a set of probability comparison data for small hits (Px1a, Px1b) and their probability switching rate (Rax) are selected, and the random numbers for processing (RB0 to RB3) are selected. A random number randomly generated based on the probability switching random number (RM)
3), the probability switching random number (RM3) is compared with the probability switching rate (Rax), and based on the comparison result,
The probability comparison data (Px0a) or the probability comparison data (Px0b) is selected as the probability comparison data (P00) for the big hit, and the probability comparison data (Px1a) or the probability comparison data (Px1).
The probability generation device according to any one of claims 4 to 17, wherein any one of b) is selected and used as the probability comparison data (P10) for the small hit. 20. A memory storing fluctuation waveforms and a first
It has a multiplier, an adder / subtractor, and a second multiplier, and the fluctuation waveform data (WAVC) is stored in the memory with phase address data having a predetermined reference clock number as one cycle.
S) and outputs the fluctuation waveform data (WAV) to one of the first multipliers.
CS) is input, and the fluctuation waveform data (WAVC) based on the fluctuation coefficient (Kw) prepared in advance by the multiplication / addition processing by the first multiplier and the adder / subtractor.
S) is generated in a range of 100 ± 100 × Kw% to generate modulated waveform data (WAVAD), and the second multiplier is used to multiply the previously prepared probability comparison data by the modulated waveform data (WAVAD). The probability generation device according to any one of claims 1 to 19, wherein fluctuation is added to the probability comparison data. 21. A memory storing a fluctuation waveform and a first memory
It has a multiplier, an adder / subtractor, and a second multiplier, and the fluctuation waveform data (WAVC) is stored in the memory with phase address data having a predetermined reference clock number as one cycle.
S) and outputs the fluctuation waveform data (WAV) to one of the first multipliers.
CS) and input the fluctuation waveform data (WAVCS) to 100 by using one of a plurality of fluctuation coefficients (Kwx) prepared in advance by the multiplication / addition processing by the first multiplier and the adder / subtractor. Modulated waveform data (WAVAD) modulated in a range of ± 100 × Kwx% is generated, and a plurality of previously prepared probability comparison data sets are multiplied by the modulated waveform data (WAVAD) by the second multiplier to generate probabilities. The probability generation device according to any one of claims 1 to 19, wherein fluctuation is added to the comparison data set. 22. The fluctuation waveform is a sine waveform, a square waveform, a triangular waveform, a sawtooth waveform, a trapezoidal waveform, a normal distribution waveform, or a parabolic waveform,
22. The probability generating device according to claim 20, wherein the probability generating device is a cubic clute waveform or a waveform obtained by modifying them. 23. A plurality of types of fluctuating waveforms are stored in a memory for storing the fluctuating waveforms, and fluctuating waveform selection data (WPS) prepared in advance is used as waveform address data of the memory to select from among the plurality of types of fluctuating waveforms. 23. The probability generating device according to claim 20, wherein a type is selected and output to be used as the fluctuation waveform data. 24. A plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory, and the processing random number (RB0) is stored.
To RB3), random numbers randomly generated based on RB3) are used as waveform address data of the memory, and one type is randomly selected and output from the plurality of types of fluctuation waveforms to be used as the fluctuation waveform data. Claim 2
The probability generation device according to any one of claims 0 to 22. 25. A plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory, and fluctuation data A selection data (WPSA) and fluctuation waveform B selection data (WPSB) prepared in advance are stored in the memory waveform address. As the data, the fluctuation waveform A and the fluctuation waveform B are respectively selected and output from the plural kinds of fluctuation waveforms, and the fluctuation waveform selection data (PWS0, PWS1, PWS) prepared in advance is selected.
Big hit probability comparison data (P2) by WS2, PWS3)
0), the small hit probability comparison data (P1), the large combination probability comparison data (P2), the small combination probability comparison data (P3) for each of the fluctuation waveform off, the fluctuation waveform A, or the fluctuation waveform B 23. The probability generation device according to claim 20, wherein the probability generation device is selected and used as the fluctuation waveform data. 26. A plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory, and fluctuation data A selection data (WPSA) and fluctuation waveform B selection data (WPSB) prepared in advance are stored in a waveform address of the memory. As the data, the fluctuation waveform A and the fluctuation waveform B are respectively selected and output from the plural kinds of fluctuation waveforms, and the selected fluctuation waveform A and fluctuation waveform B are combined by a combiner,
Fluctuation waveform selection data (PWS0, PWS) prepared in advance
1, PWS2, PWS3) big hit probability comparison data (P0), small hit probability comparison data (P1), big win probability comparison data (P2), small win probability comparison data (P
3) The fluctuation waveform is turned off, the fluctuation waveform A, the fluctuation waveform B, or a composite waveform of the fluctuation waveform A and the fluctuation waveform B is selected and used as the fluctuation waveform data. The probability generation device according to any one of claims 20 to 22. 27. A plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory, and selection data (WPSA) of fluctuation waveform A prepared in advance or the processing random number (R
Fluctuation waveform A arbitrarily generated based on B0 to RB3)
Selection random number and the fluctuation waveform B selection data (WPSB) prepared in advance or the processing random number (RB0 to RB).
Based on 3), random numbers for arbitrary selection of the fluctuation waveform B are used as waveform address data of the memory to select and output the fluctuation waveform A and the fluctuation waveform B from the plural kinds of fluctuation waveforms, respectively. The respective fluctuation waveforms A and B are synthesized by a synthesizer, and the fluctuation waveform selection data (PWS0, PWS1, PWS) prepared in advance is synthesized.
2, PWS3) jackpot probability comparison data (P
0), small hit probability comparison data (P1), large combination probability comparison data (P2), small combination probability comparison data (P3), fluctuation waveform OFF, fluctuation waveform A, fluctuation waveform B, or fluctuation waveform 23. The probability generating device according to claim 20, wherein any one of the combined waveforms of A and the fluctuation waveform B is selected and used as the fluctuation waveform data. 28. A plurality of fluctuation waveform conversion data (WPCN0) prepared in advance from the waveform address data of the memory.
~ WPCN15) based on the second converter, and select the fluctuation waveform in the fluctuation waveform conversion data.
The probability generating device according to any one of claims 23 to 27, which outputs the probability. 29. The polarity of the fluctuation waveform data output from the memory is set by a polarity switcher based on previously prepared polarity selection data.
The probability generator according to any one of claims 0 to 28. 30. The polarity of the fluctuation waveform data output from the memory is switched by a polarity selection data prepared in advance or a random number for polarity selection arbitrarily generated based on the random number for processing (RB0 to RB3). 29. The probability generating device according to claim 20, wherein the probability generating device is set by a device. 31. A plurality of types of fluctuation waveforms are stored in the fluctuation waveform storage memory, and the selection data (WPSA) of the fluctuation waveform A or the processing random number (R) prepared in advance is stored.
Fluctuation waveform A arbitrarily generated based on B0 to RB3)
Random number for selection, and the selection data (WPSB) of the fluctuation waveform B prepared in advance or the processing random number (RB0 to RB).
3) A plurality of fluctuation waveform conversion data (WP) prepared in advance with random numbers for selection of fluctuation waveform B arbitrarily generated based on
CN0 to WPCN15) and selects and outputs the fluctuation waveform A and the fluctuation waveform B from the plural kinds of fluctuation waveforms as the waveform address data of the memory, and outputs the fluctuation waveform A and the fluctuation waveform. B is synthesized by a synthesizer, fluctuation waveform selection data (PWS0, PWS1, PWS2, PWS3) prepared in advance or randomly generated random comparison numbers for fluctuation waveform selection is used for big hit probability comparison data (P0), for small hits. For each of the probability comparison data (P1), the large role probability comparison data (P2), and the small role probability comparison data (P3), the fluctuation waveform is turned off, or the fluctuation waveform A, the fluctuation waveform B, or the fluctuation waveform A and the fluctuation waveform B. 31. Any one of composite waveforms is selected and used as the fluctuation waveform data. The probability generating device according to any one of 1 to 3 above. 32. Fluctuating waveforms of a plurality of types are stored in the memory for storing the fluctuating waveforms, and selection data (WPSA) of the fluctuating waveforms A prepared in advance or the processing random number (R
Fluctuation waveform A arbitrarily generated based on B0 to RB3)
Random number for selection, and the selection data (WPSB) of the fluctuation waveform B prepared in advance or the processing random number (RB0 to RB).
3) A plurality of fluctuation waveform conversion data (WP) prepared in advance with random numbers for selection of fluctuation waveform B arbitrarily generated based on
CN0 to WPCN15) and selects and outputs the fluctuation waveform A and the fluctuation waveform B from the plural kinds of fluctuation waveforms as the waveform address data of the memory, and outputs each fluctuation waveform A and fluctuation waveform. B is synthesized by a synthesizer, and a plurality of fluctuation waveform selection data sets (PWSx0, PWSx1, PWS) prepared in advance are combined.
x2, PWS x3) one set of big hit probability comparison data (P0), small hit probability comparison data (P
1), the fluctuation waveform is turned off for each of the large role probability comparison data (P2) and the small role probability comparison data (P3), or the fluctuation waveform A, the fluctuation waveform B, or the combined waveform of the fluctuation waveform A and the fluctuation waveform B. 31. The probability generating device according to claim 20, wherein the probability generating device is selected and used as the fluctuation waveform data. 33. The phase data prepared in advance is added to the phase address data having a predetermined number of reference clocks as one cycle, and the phase of the fluctuation waveform output from the fluctuation waveform storage memory is set. 33. The probability generating device according to any one of claims 20 to 32. 34. Addition of either phase data prepared in advance to phase address data having a predetermined reference clock number as one cycle or a phase random number arbitrarily generated based on the processing random numbers (RB0 to RB3). The probability generation device according to any one of claims 20 to 32, wherein the phase of the fluctuation waveform output from the fluctuation waveform storage memory is set. 35. The cycle of the reference clock is changed according to coefficient selection data (WTSE) of a fluctuation reference axis prepared in advance, and one cycle of the phase address data is arbitrarily set. The probability generation device according to claim 34. 36. The coefficient selection data (WTSE) of the fluctuation reference axis prepared in advance or the processing random number (RB0).
~ RB3), the cycle of the reference clock is changed by any of the random numbers for coefficient selection of the fluctuation reference axis, and one cycle of the phase address data is arbitrarily or randomly set. The probability generation device according to any one of claims 20 to 34. 37. Fluctuation reference axis coefficient selection data (WTSE) or fluctuation time axis conversion data (WTCN0) prepared in advance with random numbers for fluctuation reference axis coefficient selection.
~ WTCN7) based on the first converter,
The probability generation device according to claim 35 or 36, wherein the cycle of the reference clock is changed arbitrarily or randomly. 38. A fixed reference time signal and a trigger signal are provided as the reference clock, and either one of them is arbitrarily selected on the basis of pre-prepared fluctuation reference axis selection data (WTRF). The probability generation device according to any one of claims 35 to 37. 39. The reference data having a constant reference time signal and a trigger signal as the reference clock, either of which is prepared in advance as reference data for selecting a fluctuation reference axis (WTRF) or the random number for processing (RB0 to RB3). 4. The random axis is randomly or randomly selected based on a random number for selection of a fluctuation reference axis.
The probability generating device according to any one of claims 5 to 37. 40. The fluctuation waveform, polarity, phase, period time and reference axis are selected based on a random number generated based on a first trigger signal generated after power is turned on. 40. The random number generator according to claim 39. 41. The probability generating device according to claim 40, wherein the random number is updated every fluctuation one cycle ends. 42. A preset value for automatic forced clearing of fluctuations (PWC) prepared in advance is compared with a randomly generated random number for generating probability of automatic forced clearing of fluctuations, and one cycle of fluctuations is forcibly terminated by the comparison result. Along with having an automatic forced clearing function for fluctuations, the fluctuation waveform, polarity, phase, period time and reference axis are selected based on a new random number generated based on the trigger signal after forced termination. The probability generating device according to any one of claims 20 to 41. 43. A probability value (PWC) of the automatic fluctuation of the fluctuation is added by adding a random number arbitrarily generated based on the processing random number (RB0 to RB3) to the probability value (PWC) of the automatic fluctuation of the fluctuation. 43. The probability generating device according to claim 42, wherein :) is provided with an offset. 44. The probability generating device according to claim 42, further comprising mask data (SWFL) for setting validity / invalidity of the automatic fluctuation clearing function for fluctuations. 45. A counter for counting a trigger signal, a third multiplier, an adder, and a fourth multiplier, wherein the count output (CFN) of the counter is input to one of the third multipliers, The count output (CFN) is 10 based on the fall coefficient (KF) prepared in advance by the multiplication / addition processing by the 3 multiplier and the adder.
Fall data (FALAD) changed in the range of 0 + 100 × KF% is generated, and the probability multiplication data prepared in advance is multiplied by the fall data (FALAD) by the fourth multiplier, and the fall function is added to the probability comparison data. The probability according to any one of claims 1 to 44, wherein the probability function is added to increase a probability value by a constant coefficient until a hit occurs, and the fall function is initialized at the time of occurrence of a hit. Generator. 46. A counter for counting a trigger signal, a comparator, a third multiplier, an adder, and a fourth multiplier, the fall number (MF) prepared in advance and the count output (CFN) of the counter. When the count output (CFN) is compared by the comparator, and the count output (CFN) is equal to or more than the fall number (MF), the subtracted value of the count output (CFN) and the fall number, otherwise 0 is set to the third multiplier The count output (CFN) is 100 + 100 × based on the Fall coefficient (KF) prepared in advance by the multiplication / addition processing by the third multiplier and the adder.
Fall data changed in the KF% range (FALAD)
Is generated, the probability data prepared in advance is multiplied by the fall data (FALAD) by the fourth multiplier, and a fall function is added to the probability comparison data. After a predetermined number of fall times, a hit occurs. The probability generating device according to any one of claims 1 to 44, wherein the probability function is increased by a constant coefficient up to and the fall function is initialized at the time of occurrence of a hit. 47. A counter for counting a trigger signal, a comparator, a third multiplier, an adder, and a fourth multiplier, the number of fall times (MF) prepared in advance and the count output (CFN) of the counter. When the count output (CFN) is greater than or equal to the number of fall times (MF), a constant value is input to the one of the third multipliers and 0 is input to one of the third multipliers. The count output (CFN) is 10 based on the fall coefficient (KF) prepared in advance by the multiplication / addition processing by the multiplier and the adder.
Fall data (FALAD) changed in the range of 0 + 100 × KF% is generated, and the probability multiplication data prepared in advance is multiplied by the fall data (FALAD) by the fourth multiplier, and the fall function is added to the probability comparison data. 45. The method according to claim 1, wherein the fall function is added and fixed to a constant high probability value until a hit occurs after a predetermined number of falls, and the fall function is initialized when the hit occurs. The probability generation device according to any one of claims. 48. The method according to claim 46 or 47, wherein one of a plurality of fall times (MFx) prepared in advance for each trigger signal generation is selected and used. Probability generator. 49. The method according to claim 45, wherein one of a plurality of fall coefficients (KFx) prepared in advance for each trigger signal generation is selected and used. Probability generator. 50. The fall function is initialized when the probability of a big hit (P0) or the probability of a small hit (P1) occurs, and the fall function is initialized. Probability generator. 51. The fall selection data (PFS0) for the jackpot probability (P0) prepared in advance.
The fall function according to any one of claims 5 to 50,
Alternatively, the probability generation device is characterized in that the fall function is turned off and the fall function is initialized when the probability (P0) is hit. 52. Fall selection data (PFS0) for the jackpot probability (P0) and a jackpot probability (P) prepared in advance.
The fall function according to any one of claims 45 to 50 and the fall function off are executed based on the fall selection data (PFS1) for 1), and the probability (P
0) or the probability generation device, wherein the fall function is initialized when a hit occurs in the probability (P1). 53. The probability generation device according to claim 51, wherein one of a plurality of fall selection data (PFSx0) for the jackpot probability (P0) prepared in advance is selected and used. 54. A plurality of fall selection data (PFSx0) for the jackpot probability (P0) and a plurality of fall selection data (PFSx) for the jackpot probability (P1) prepared in advance.
53. The probability generator according to claim 52, wherein one of 1) is selected and used. 55. When the jackpot probability (P0) occurs,
Alternatively, when the probability of small hit (P1) occurs and the fall end mask (SF) for the probability of small hit (P1) prepared in advance is turned off, the fall function is terminated and initialized. The probability generation device according to any one of claims 45 to 54. 56. The automatic force clear time (TFC) of the fall function prepared in advance is compared with the generation time interval of the trigger signal, and the generation time interval of the trigger signal is shorter than the automatic force clear time (TFC) of the fall function. The probability generation device according to any one of claims 45 to 55, further comprising an automatic force clear function for a fall that forcibly terminates the fall function when it becomes large. 57. The probability generation device according to claim 56, further comprising mask data (SWFH) for setting validity / invalidity of the automatic fall clear function. 58. The hit signals (HIT0, HIT1,
The probability generating device according to any one of claims 1 to 57, wherein at the same time that HIT2, HIT3) is output, an arbitrarily generated auxiliary random number is output as data for making a role and for making a pattern. 59. The signals per probability (HIT0, HIT
1, HIT2, HIT3), and at the same time, the probability generation random number (RM0) and the offset random number (RM).
1), the probability comparison data (PB0), the probability comparison data (PB1), the probability comparison data (PB2), the probability comparison data (PB3), or the probability generation random number (RM0) and the probability comparison data. (P00) and the probability comparison data (PA0) and the probability comparison data (PA
The probability generation device according to any one of claims 1 to 58, wherein 1) and the probability comparison data (PA2) are output directly, optically, or in a radio wave in a serial format. 60. The probability generating apparatus according to claim 1, wherein the offset random number (RM1) has a fixed value “0”. 61. The processing random numbers (RB0, RB1, R
The probability generating device according to any one of claims 1 to 60, wherein B2 and RB3) are secured before the trigger signal is generated. 62. The (RB0, RB1, RB2, RB
The probability generating device according to any one of claims 1 to 60, characterized in that 3) is secured at the time of trigger signal generation. 63. The (RB0, RB1, RB2, RB
The probability generation device according to any one of claims 1 to 60, wherein 3) is secured after the trigger signal is generated.