CN110433494A - Drop point prediction technique, drop point forecasting system and gaming decision method - Google Patents
Drop point prediction technique, drop point forecasting system and gaming decision method Download PDFInfo
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- CN110433494A CN110433494A CN201810410955.2A CN201810410955A CN110433494A CN 110433494 A CN110433494 A CN 110433494A CN 201810410955 A CN201810410955 A CN 201810410955A CN 110433494 A CN110433494 A CN 110433494A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/57—Simulating properties, behaviour or motion of objects in the game world, e.g. computing tyre load in a car race game
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/57—Simulating properties, behaviour or motion of objects in the game world, e.g. computing tyre load in a car race game
- A63F13/573—Simulating properties, behaviour or motion of objects in the game world, e.g. computing tyre load in a car race game using trajectories of game objects, e.g. of a golf ball according to the point of impact
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/80—Special adaptations for executing a specific game genre or game mode
- A63F13/812—Ball games, e.g. soccer or baseball
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/60—Methods for processing data by generating or executing the game program
- A63F2300/64—Methods for processing data by generating or executing the game program for computing dynamical parameters of game objects, e.g. motion determination or computation of frictional forces for a virtual car
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/60—Methods for processing data by generating or executing the game program
- A63F2300/64—Methods for processing data by generating or executing the game program for computing dynamical parameters of game objects, e.g. motion determination or computation of frictional forces for a virtual car
- A63F2300/646—Methods for processing data by generating or executing the game program for computing dynamical parameters of game objects, e.g. motion determination or computation of frictional forces for a virtual car for calculating the trajectory of an object
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/80—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game specially adapted for executing a specific type of game
- A63F2300/8011—Ball
Abstract
A kind of drop point prediction technique includes input environment state and input parameter；The first movement distance of controlled object is calculated using environment object appraising model according to input parameter and the ambient condition；Detect whether controlled object collides in first movement distance with first environment object or second environment object；When colliding, the collision rear path of controlled object being estimated, and updating ambient condition, the second moving distance that environment object appraising model calculates controlled object is re-used according to collision rear path；And do not collide when in first movement distance, estimate the stop position of controlled object.Whereby, the effect of allowing prediction NPC behavior can be more acurrate, reaching instant feedback.
Description
Technical field
The invention relates to a kind of drop point prediction technique, drop point forecasting system and gaming decision methods, and especially have
Method, system and gaming decision method about non-player role position in a kind of forecasting game.
Background technique
In recent years, flourishing with mobile device, instant mobile phone games are also increasingly liked by player on line,
The battle mode for entering double or more people by matching player immediately allows player to enjoy the enjoyment with true man's battle.But if certain
The online number of a little specific time periods is very few, it will causes the situation that can not find people's battle after player is online to occur, therefore plays to allow
Family can enjoy the enjoyment of battle at any time, and artificial intelligence application in game, is allowed computer that can simulate true man by game developer
Behavior and player fight.
But artificial intelligence is usually required by complicated design and calculating, so if it is past to want to obtain accurately result
Toward needing to take a substantial amount of time, so that feedback can not be given immediately in instant battle game, and due to operand Pang
It greatly, is also huge load for the processor of mobile phone.Therefore, how in the case where not influencing precision more rapidly
Operation, the effect of reaching instant feedback is this field problem to be solved.
Summary of the invention
The main object of the present invention is to provide a kind of drop point prediction technique, drop point forecasting system and gaming decision method,
It, which mainly improves previous artificial intelligence, leads to the problem of calculating overlong time because operation is huge, using by object for appreciation non-in game
The behavior of family role (Non-Player Character, NPC), is divided into multiple small behaviors estimated, then small-sized is by multiple
The effect of individual training becomes training pattern, allows prediction NPC behavior more acurrate, reaches instant feedback.
To reach above-mentioned purpose, the first aspect of the invention is to provide a kind of drop point prediction technique, the method include with
Lower step: input environment state and input parameter, ambient condition include the position of first environment object or second environment object
It sets；The first movement distance of controlled object is calculated using environment object appraising model according to input parameter and the ambient condition；
Detect whether controlled object collides in first movement distance with first environment object or second environment object；Work as generation
Collision, estimates the collision rear path of controlled object, and update ambient condition, re-uses environment object according to collision rear path
Appraising model calculates the second moving distance of controlled object；And do not collide when in first movement distance, it estimates
The stop position of controlled object.
An embodiment according to the present invention further includes: in case of colliding, it is controlled to calculate this using rate pattern before colliding
Speed before object collision, and then judge that the controlled object is and its of the first environment object and the second environment object
One of the event that collides.
An embodiment according to the present invention further includes: if the collision thing occurs for the controlled object and the first environment object
Part, the angular deviation after the controlled object and first environment object collision are calculated using tangent offset model；And it calculates
The controlled object first collision after speed and calculate the first environment object second collision after speed.
An embodiment according to the present invention further includes: if the collision thing occurs for the controlled object and the second environment object
Part calculates the controlled object and speed after angular deviation and collision after second environment object collision.
An embodiment according to the present invention further includes: note down the generation position of the collision accident, and according to the generation position,
This first collision after speed and this second collision after speed update the ambient condition.
Second aspect of the invention is to provide a kind of drop point forecasting system, it includes: processor and storage device.
Storage device is electrically connected to processor, and to storage condition state and input parameter, ambient condition includes first environment object
The position of part or second environment object.Wherein, processor includes: environment object estimation block, collision detection module, collision meter
Calculate module and position computation module.Environment object estimation block is according to input parameter and ambient condition with controlled to calculate
The first movement distance of object.Collision detection module and environment object estimation block are electrically connected, and are existed to detect controlled object
Whether first movement distance is interior collides with first environment object or second environment object.Collision calculation module is detectd with collision
Module is surveyed to be electrically connected, to calculate collide after controlled object collision rear path, and update ambient condition, then root
The second moving distance that environment object appraising model calculates controlled object is re-used according to collision rear path.Position calculates mould
Block and collision detection module are electrically connected, when not colliding in first movement distance, to estimate one of controlled object
Stop position.
An embodiment according to the present invention, the collision calculation module are more controlled to calculate this using rate pattern before colliding
Speed before object collision, and then judge that the controlled object is and its of the first environment object and the second environment object
One of the event that collides.
An embodiment according to the present invention, if the collision accident occurs for the controlled object and the first environment object, this is touched
It hits computing module and calculates the angular deviation after the controlled object and first environment object collision using tangent offset model,
And then calculate the controlled object first collision after speed and calculate the first environment object second collision after speed
Degree.
An embodiment according to the present invention, if the collision accident occurs for the controlled object and the second environment object, this is touched
The controlled object and speed after angular deviation and collision after second environment object collision can be calculated by hitting computing module.
An embodiment according to the present invention, the position computation module can note down the generation position of the collision accident, and according to this
Occur position, this first collision after speed and this second collision after speed update the ambient condition.
Third aspect of the invention is to provide a kind of gaming decision method, it includes: obtain ambient condition；It determines more
A input parameter；Ambient condition and multiple input parameters are sequentially applied to drop point prediction technique, obtain the more of the controlled object
A stop position, stop position are respectively corresponding to one of input parameter；Estimate the respective value of stop position；And
According to the respective value of the stop position of estimation, most preferably parameter is inputted by determining in input parameter.
Drop point prediction technique, drop point forecasting system and gaming decision method of the invention mainly improves previous artificial intelligence
It can lead to the problem of calculating overlong time because operation is huge, using by the behavior of NPC in game, being divided into multiple estimate
Small behavior, then by it is multiple it is small-sized for individual training become training pattern, allow prediction NPC behavior it is more acurrate, reach instant
The effect of feedback.
The above description is only an overview of the technical scheme of the present invention, in order to better understand technological means of the invention, and
It can be implemented in accordance with the contents of the specification, and to allow above and other objects, features and advantages of the invention can be brighter
Show understandable, it is special below to lift preferred embodiment, and cooperate attached drawing, detailed description are as follows.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of drop point forecasting system depicted according to some embodiments of the present invention.
Fig. 2 is a kind of flow chart of drop point prediction technique depicted according to some embodiments of the present invention.
Fig. 3 is the flow chart of step S240 depicted according to some embodiments of the present invention.
Fig. 4 is a kind of flow chart of gaming decision method depicted according to some embodiments of the present invention.
Fig. 5 A is the schematic diagram of billiards depicted according to some embodiments of the present invention.
Fig. 5 B is the schematic diagram of billiards depicted according to some embodiments of the present invention.
[main element symbol description]
100: drop point forecasting system
101: processor
102: storage device
110: environment object estimation block
120: collision detection module
130: collision calculation module
140: position computation module
200: drop point prediction technique
400: gaming decision method
510: club
520: mother bulb
530a, 530b, 530c: bulbec
S210~S250, S241~S346, S410~S450: step
Specific embodiment
The many different embodiments or illustration disclosed below of providing are to implement different characteristic of the invention.In special illustration
Element and configuration be used to simplify this announcement in the following discussion.The purposes that any illustration discussed only is used to narrate,
It can't limit the invention in any way or the range and meaning of its illustration.In addition, this announcement may weight in different illustrations
Dereference numerical chracter and/or letter, these are repeated all in order to simplify and illustrate, in itself and not specified following discussion not
With the relationship between embodiment and/or configuration.
Please refer to Fig. 1.Fig. 1 is a kind of showing for drop point forecasting system 100 depicted according to some embodiments of the present invention
It is intended to.Show as depicted in FIG. 1, drop point forecasting system 100 includes processor 101 and storage device 102.Storage device 102 is electrically
It is connected to processor 101, and to storage condition state and input parameter, ambient condition includes first environment object or the
The position of two environment objects.Processor 110 further includes environment object estimation block 110, collision detection module 120, collision calculation
Module 130 and position computation module 140.Environment object estimation block 110 and collision detection module 120 are electrically connected, collision
Detecting module 120 and collision calculation module 130 and position computation module 140 are electrically connected.
In various embodiments of the present invention, processor 101 may be embodied as integrated circuit such as micro-control unit
(microcontroller), microprocessor (microprocessor), digital signal processor (digital signal
Processor), special application integrated circuit (application specific integrated circuit, ASIC), patrol
Collect the combination of circuit or other similar element or said elements.Storage device 102 may be embodied as memory, hard disc, Portable disk,
Memory card etc..
Please refer to Fig. 2.Fig. 2 is a kind of stream of drop point prediction technique 200 depicted according to some embodiments of the present invention
Cheng Tu.The drop point prediction technique 200 of one embodiment of the invention can be used to calculate NPC behavior, signified NPC behavior herein
It can refer to all non-physical states for family role in game, for example, the NPC behavior in billiards can be
Refer to the relationship and mother bulb and the physical state of bulbec etc. between mother bulb, bulbec and billiard table.In one embodiment, shown in Fig. 2
Drop point prediction technique 200 can be applied in the drop point forecasting system 100 of Fig. 1, processing unit 110 according to following to fall
Step described in point prediction method 200 carries out the estimation of NPC behavior.As shown in Fig. 2, drop point prediction technique 200 include with
Lower step:
Step S210: input environment state and input parameter；
Step S220: according to input parameter using environment object appraising model calculate the first movement of controlled object away from
From；
Step S230: detect controlled object first movement distance it is interior whether with first environment object or second environment object
Part collides；
Step S240: in case of colliding, the collision rear path of controlled object is estimated, and update ambient condition；And
Step S250: if interior there is no collision in first movement distance, the stop position of controlled object is estimated.
In step S210, input environment state and input parameter, ambient condition includes first environment object or second
The position of environment object.In one embodiment, first environment object can be bulbec, and second environment object can be billiard table, defeated
Entering parameter can be the power of batting, the position of batting and direction of batting etc..Present invention only requires the environment for changing input
State and input parameter are applicable in different battle games immediately (such as: baseball, to playing games), not
It is limited to using in the billiards fought immediately.
Before executing step S220, need first by the motion state of mother bulb, mother bulb and bulbec collision physical state and
Mother bulb is divided into multiple models with the physical state that billiard table collides and is trained individually, and multiple models are the estimation of environment object respectively
Rate pattern and tangent offset model before model, collision, and in environment object appraising model include three submodels, respectively
It is substrate distance submodel, state switching submodel and rolling speed decaying submodel.
Substrate distance submodel is introduced first, mother bulb has the case where not bumping against anything (bulbec or billiard table) and stopping,
In this embodiment by the substrate after mother bulb stress until stopping, the case where not colliding between movement, as mother bulb movement
Distance.Input the distance that mother bulb is mobile under different batting powers, recycle neural network (Neural Network) or
The mode of linear regression (Linear Regression) generates substrate distance submodel, so that can directly input batting later
The power substrate distance mobile by substrate distance submodel output mother bulb.
Then rate pattern before colliding is introduced, before carrying out collision calculation, it is necessary to the speed before first knowing mother bulb collision,
Therefore the shifting of mother bulb speed, initial angular speed and mother bulb initial under corresponding batting power to the point of impingement need to be calculated
The parameters such as dynamic distance.Initial speed under different batting powers, initial angular speed, mother bulb to the point of impingement are inputted first
The angular speed before speed and collision before moving distance, collision recycles the mode of neural network or linear regression to produce
It is raw to collide preceding rate pattern, so that initial speed, initial angular speed and mother bulb can be directly inputted later to the point of impingement
Moving distance, by rate pattern output mother bulb speed before the collision and angular speed before colliding.
Then tangent offset model is introduced, with bulbec approximate perfectly elastic impact can occur when being collided for mother bulb
Situation (can move) along a tangential direction after mother bulb collision, therefore according to angular speed and mother bulb and son before speed, collision before colliding
The angle of ball can deduce speed and angular speed after mother bulb and bulbec collision.But the kinetic energy on mother bulb is in addition to that can be transferred to son
It, can also be because of the effect of frictional force, so that mother bulb moving direction and original tangential direction generate tangent offset except on ball
Angle is needed according to the parameters construction tangent offset mould such as angular speed and mother bulb and the angle of bulbec before speed, collision before colliding
Type, to obtain tangent offset angle.Certain mother bulb also has the ball condition with billiard table collision, if bumping against billiard table, first with entering
Firing angle is equal to the principle of angle of reflection, calculates the direction of travel of mother bulb, then the angular speed further according to speed before colliding and before colliding,
Direction after collision is modified.
Then rolling speed decaying submodel is introduced, truth when in order to simulate mother bulb and bulbec rolling needs
Ball when rolling and the kinetic energy loss of desktop friction are summarized into attenuation function, since club by multiple sliding or rolls shape
The velocity attenuation degree of the switching of state, the more balls of number of state switching also can be with exponential growth.Therefore, it is necessary to calculate ball to exist
Switch in movement by the state of how many times, number is substituted into attenuation function to the rate of decay that can estimate ball.
Then state switching submodel is introduced, can be found after the motion state via observation mother bulb, mother bulb is hit or female
After ball warp crosses collision, mother bulb all can first slide a distance and roll a distance again, and the velocity attenuation of sliding mode and rolling
The velocity attenuation of state is different, and the velocity attenuation of sliding mode can decay in a linear fashion, and the velocity attenuation of rolling condition is then
Can exponentially it decay.Therefore after the moving distance of sliding mode ball can be calculated, using mother bulb to the point of impingement movement away from
Subtract each other the moving distance that can deduce rolling condition ball from the moving distance with sliding mode ball.
By substrate distance submodel, state switching submodel, rolling speed decaying submodel, before collision rate pattern with
And after tangent offset model training, the estimation for carrying out mother bulb and bulbec movement routine can be started.
It refer again to Fig. 2, in step S220, calculated according to input parameter using environment object appraising model controlled
The first movement distance of object.In one embodiment, it is declined using substrate distance submodel, state switching submodel, rolling speed
The distance that mother bulb moves before the collision can be calculated by subtracting submodel.
In step S230, detect controlled object first movement distance it is interior whether with first environment object or the second ring
Border object collides.In this embodiment, using calculated mother bulb moves before the collision before distance and it is mobile to
Amount, judges whether overlap in the vector of other environment objects (bulbec and billiard table) in this motion-vector.
In step S240, if there is colliding, the collision rear path of controlled object is estimated, and update ambient condition.
The thin portion process of step S240 is referring to FIG. 3, Fig. 3 is the stream of step S240 depicted according to some embodiments of the present invention
Cheng Tu.As shown in figure 3, step S240 is comprised the steps of:
Step S241: in case of colliding, the speed before controlled object collision is calculated using rate pattern before colliding；
Step S242: judge whether controlled object collides event with first environment object；
Step S243: the event if controlled object and first environment object collide is calculated using tangent offset model
Angular deviation after controlled object and the collision of first environment object；
Step S244: the second collision of speed and calculating first environment object after the first collision of controlled object is calculated
Speed afterwards；
Step S245: if controlled object does not collide with first environment object, but occur with second environment object
Collision accident calculates controlled object and speed after the angular deviation and collision after the collision of second environment object；And
Step S246: the generation position of collision accident is noted down, and according to speed and second after generation position, the first collision
Speed updates ambient condition after collision.
In step S241 and step S242, in case of colliding, controlled object is calculated using rate pattern before colliding and is touched
Speed before hitting, then judges whether controlled object collides event with first environment object.When step S230 judges whether
After colliding, in case of colliding, needs to calculate first with rate pattern before established collision before and collide preceding mother bulb
Remaining how much speed and angular speed, then just further judge that mother bulb is and first environment object or second environment object (bulbec
Or billiard table) collide.
In step S243 and step S244, the event if controlled object and first environment object collide, using cutting
Line offset model calculates the angular deviation after controlled object and the collision of first environment object；Then the of controlled object is calculated
Speed after second collision of speed and calculating first environment object after one collision.In one embodiment, if mother bulb and bulbec
It collides, mother bulb and bulbec is first preset as elastic collision, the angle after calculating mother bulb and bulbec collision, then obtained previous
The speed and angular speed of mother bulb before the collision arrived, and obtained after elastic collision calculates mother bulb collision after angle, substitute into
In tangent offset model, angle after available corrected mother bulb collision, then after calculating separately mother bulb and bulbec collision
Speed and angular speed, and the angle after bulbec collision is then the calculated angle of elastic collision.
In step S245, if controlled object does not collide with first environment object, but with second environment object
Collide event, speed after the angular deviation and collision after calculating controlled object and the collision of second environment object.In reality
In, it hits according to mother bulb to what billiard table will cause billiard table and falls into degree, the angular speed of mother bulb and power of frictional force etc., all
There can be very big image to the bounce angle after mother bulb shape and billiard table.In order to simplify calculate, in the present embodiment, if mother bulb with
Billiard table collides, and the striking face of mother bulb and billiard table is considered as the plane perpendicular to desktop, therefore mother bulb hits the angle after billiard table
Degree can be obtained via the theoretical calculation that incidence angle is equal to angle of reflection.
In step S246, note down the generation position of collision accident, and according to occur after position, the first collision speed and
Speed updates ambient condition after second collision.In one embodiment, it will record that mother bulb collides bulbec or mother bulb collides billiard table
Position, then bulbec is removed from the position of script, and by the speed after the shock of position of collision and mother bulb and bulbec
Degree and angular speed are back in the list of record ambient condition, become the parameter of next mother bulb and bulbec movement.And mother bulb and son
Ball position after an impact and moving distance, then can recalculate, therefore remove after mother bulb is knocked off since step S220
Non- is the case where not striking bulbec or billiard table and stop, other situation mother bulbs or bulbec all can be by multiple before stopping
Drop point prediction technique 200 calculating, therefore can have many encounter stages.
In step s 250, if interior there is no collision in first movement distance, the stop position of controlled object is estimated
It sets.In one embodiment, if mother bulb does not all strike bulbec or billiard table after being knocked off, mother bulb can be because produce with billiard table desktop
Life rubs and tapers off, and after calculating stop position, by mother bulb location updating and is stored in the list of record ambient condition.
If mother bulb does not occur impact event and stops, then it represents that the movement of mother bulb terminates, if without the power for inputting batting again,
The movement of mother bulb will not start.
In another embodiment, the movement for the bulbec hit by mother bulb, can also be used drop point prediction technique 200 to estimate,
Whether the speed and angular speed that bulbec is knocked generation have with billiard table as input parameter by the bulbec that judgement is knocked
Or other bulbecs collide, and repeat the calculating of step S220~S240, until the bulbec being knocked stops.
Please refer to Fig. 4.Fig. 4 is a kind of stream of gaming decision method 400 depicted according to some embodiments of the present invention
Cheng Tu.The gaming decision method 400 of one embodiment of the invention can be for selection one is optimal from a variety of possibility automatically
As a result, make with player fight in obtain better result.As shown in figure 4, gaming decision method 400 comprises the steps of:
Step S410: ambient condition is obtained；
Step S420: multiple input parameters are determined；
Step S430: ambient condition and input parameter are sequentially applied to drop point prediction technique above-mentioned, obtain controlled substance
Multiple stop positions of part, stop position are respectively corresponding to one of input parameter；
Step S440: the estimation respective value of stop position；And
Step S450: according to the respective value of the stop position of estimation, most preferably parameter is inputted by determining in input parameter.
In step S410 and step S420, ambient condition is obtained, then determines multiple input parameters.In an embodiment
In, ambient condition includes the position of bulbec and mother bulb, and can choose in billiards and hit to mother bulb with how much strength
Bulbec, billiard table or a certain position, therefore the possibility with a variety of batting.
In step S430, ambient condition and input parameter are sequentially applied to drop point prediction technique 200 above-mentioned, obtained
To multiple stop positions of controlled object, stop position is respectively corresponding to one of input parameter.Please also refer to Fig. 5 A
And Fig. 5 B.Fig. 5 A is the schematic diagram of billiards depicted according to some embodiments of the present invention, and Fig. 5 B is according to the present invention
Some embodiments depicted in billiards schematic diagram.As shown in Figure 5A, in this embodiment, mother bulb 520 has 3 to hit
Ball selection is that can hit bulbec 530a, 530b and 530c respectively, calculates 520 knockson of mother bulb using drop point prediction technique 200
Position after ball 530a, 530b and 530c, therefore 3 different mother bulb drop point sites can be calculated.
It holds above-mentioned, in step S440 and step S450, the respective value of stop position is estimated, and according to estimation
The respective value of stop position most preferably inputs parameter by determining in input parameter.In the embodiment of Fig. 5 A and Fig. 5 B, mother bulb
520 hit bulbec 530a, so that bulbec 530a is into behind hole, if mother bulb 520 is parked in original place and can then hit bulbec 530b.
And if mother bulb 520 first hits bulbec 530b or bulbec 530c, due to mother bulb 520 bulbec 530b and 530c distance farther out, and
So that control 520 stop position of mother bulb accuracy it is bad, the stop position for causing mother bulb 520 last it is bad and can not be then
A ball is laid, therefore can use mother bulb 520 and the distance between bulbec 530a, 530b and 530c, when the batting that elects
Standard, certainly invention is not limited thereto, the game rule of billiards can also be used together as judgment criteria.Therefore club
Mother bulb 520 is hit in 510 positions for eventually moving to bulbec 530a to be hit, after mother bulb 520 can be made to hit bulbec 530a,
It allows bulbec 530a to enter bag and mother bulb 520 is allowed to be parked in original place and continue to beat bulbec 530b.
By the embodiment of aforementioned present invention it is found that mainly improve previous artificial intelligence causes to count because operation is huge
The too long problem of evaluation time is divided into multiple small rows estimated using by the physical scroll behavior of mother bulb in game and bulbec
For, then by it is multiple it is small-sized for individual training become training pattern, allow prediction mother bulb and bulbec physical scroll behavior more
Accurately, reach the effect of instant feedback.
In addition, above-mentioned illustration includes example steps sequentially, but the step need not be sequentially executed according to shown.
The step all considering in range in this disclosure are executed with different order.In the spirit of the embodiment of this disclosure
In range, it can optionally increase, replace, change sequence and/or omitting the step.
The above described is only a preferred embodiment of the present invention, limitation in any form not is done to the present invention,
Although the present invention has been disclosed as a preferred embodiment, however, it is not intended to limit the invention, any technology for being familiar with this profession
Personnel, without departing from the scope of the present invention, when the technology contents using the disclosure above are modified or are repaired
Decorations are the equivalent embodiment of equivalent variations, but anything that does not depart from the technical scheme of the invention content, technology according to the present invention are real
It verifies any simple modification, equivalent change and modification made for any of the above embodiments, still falls within the model of technical solution of the present invention
In enclosing.
Claims (11)
1. a kind of drop point prediction technique, characterized by comprising:
Input environment state and input parameter, the ambient condition include the position of first environment object or second environment object；
According to the input parameter and the ambient condition using environment object appraising model calculate the first movement of controlled object away from
From；
Detect whether the controlled object occurs in first movement distance with the first environment object or the second environment object
Collision；
When colliding, estimate that one of the controlled object collides rear path, and update the ambient condition, according to the collision rear path
Re-use the second moving distance that the environment object appraising model calculates the controlled object；And
It does not collide when in first movement distance, estimates one of controlled object stop position.
2. drop point prediction technique according to claim 1, which is characterized in that further include:
In case of collision, the speed before controlled object collision is calculated using rate pattern before colliding, and then judgement should be by
Controlling object is and one of the first environment object and the second environment object event that collides.
3. drop point prediction technique according to claim 2, which is characterized in that further include:
If the collision accident occurs for the controlled object and the first environment object, the controlled substance is calculated using tangent offset model
Angular deviation after part and first environment object collision；And
Calculate the controlled object first collision after speed and calculate the first environment object second collision after speed.
4. drop point prediction technique according to claim 2, which is characterized in that further include:
If the collision accident occurs for the controlled object and the second environment object, the controlled object and the second environment object are calculated
Speed after angular deviation and collision after part collision.
5. drop point prediction technique according to claim 3, which is characterized in that further include:
Note down the generation position of the collision accident, and according to speed after the generation position, first collision and second collision after
Speed updates the ambient condition.
6. a kind of drop point forecasting system, characterized by comprising:
Processor；
Storage device is electrically connected to the processor, and to storage condition state and input parameter, which includes the
The position of one environment object or second environment object；
Wherein, which includes:
Environment object estimation block, according to the input parameter and the ambient condition with calculate the first movement of controlled object away from
From；
Collision detection module is electrically connected, to detect the controlled object in the first movement with the environment object estimation block
Whether distance is interior collides with the first environment object or the second environment object；
Collision calculation module is electrically connected with the collision detection module, to calculate collide after one of the controlled object touch
Rear path is hit, and updates the ambient condition, the environment object appraising model is re-used then according to the collision rear path and calculates
Second moving distance of the controlled object out；And
Position computation module is electrically connected with the collision detection module, when not colliding in first movement distance, is used
To estimate one of controlled object stop position.
7. drop point forecasting system according to claim 6, which is characterized in that the collision calculation module is more to utilize collision
Preceding rate pattern calculates the speed before controlled object collision, and then judge the controlled object be with the first environment object and
One of the second environment object collides event.
8. drop point forecasting system according to claim 7, which is characterized in that if the controlled object and the first environment object
The collision accident occurs for part, which calculates the controlled object and the first environment object using tangent offset model
Angular deviation after collision, and speed and the first environment object is calculated after then calculating the first collision of the controlled object
Speed after second collision of part.
9. drop point forecasting system according to claim 7, which is characterized in that if the controlled object and the second environment object
The collision accident occurs for part, which can calculate the angle after the controlled object and second environment object collision
Speed after offset and collision.
10. drop point forecasting system according to claim 7, which is characterized in that the position computation module can note down the collision
The generation position of event, and the environment is updated according to speed after speed after the generation position, first collision and second collision
State.
11. a kind of gaming decision method, characterized by comprising:
Obtain ambient condition；
Determine multiple input parameters；
The ambient condition and the input parameter are sequentially applied to drop point prediction technique as described in claim 1, are somebody's turn to do
Multiple stop positions of controlled object, the stop position are respectively corresponding to one of described input parameter；
Estimate the stop position one of respectively value；And
According to the respective value of the stop position of estimation, most preferably parameter is inputted by determining in the input parameter.
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| CN201810410955.2A CN110433494A (en) | 2018-05-02 | 2018-05-02 | Drop point prediction technique, drop point forecasting system and gaming decision method |
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