JP2016063951A - Program and server system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a novel technique bringing diversity to behavior of an automatically-controlled group.SOLUTION: An adaptive behavior algorithm selection part 214 selects and sets behavior algorithm that a group executes from a plurality of behavior algorithms, according to an organization of the group. An algorithm rank setup part 233 sets an algorithm rank as a parameter related to the set behavior algorithm on the basis of the organization of the group. An automatic control part 250 automatically controls behavior of the group along the behavior algorithm set by the adaptive behavior algorithm selection part 214 using the algorithm rank set by the algorithm rank setup part 233.SELECTED DRAWING: Figure 11

Description

  The present invention relates to a program for causing a computer to execute a battle game.

  One of the game genres is a battle game in which a group organized by a plurality of objects and another group are matched in accordance with a user's organization operation. A good example is a game called a tactical game or a strategy game. In addition, in RPG (role playing game) and the like, there are cases where it is adopted as a battle system in the game.

  A common form of battle game control is a form in which a computer automatically controls a group. Automatic control is also called AI control. If there is a single algorithm that automatically controls the group, the behavior pattern of the opponent group will be understood and revitalized while playing several times, so in recent years various behavior patterns have not become simple Ingenuity has been elaborated.

  For example, Patent Document 1 discloses a technique in which a special area is set in a map, and the attack behavior of a character that is automatically controlled inside and outside the special area is changed.

JP 2014-46198 A

  The present invention has been devised for the purpose of providing a new technique that brings diversity to the behavior of an automatically controlled group in the background described above.

A first invention for solving the above-described problem is a program for causing a computer to execute a battle game in which a group organized by a plurality of objects is matched with enemy objects according to a user's organization operation,
Action algorithm setting means (for example, a server processing unit 200s, a game management unit 210, a conforming action algorithm selection unit in FIG. 11) that sets an action algorithm to be executed by the group according to the organization of the group among a plurality of action algorithms 214, group organization data 630 in FIG. 16, adaptive behavior algorithm name 635, step S42 in FIG.
Parameters related to the behavior algorithm set by the behavior algorithm setting means (for example, algorithm rank 633 in FIG. 16, attack success probability in FIG. 8 (2), enemy attack avoidance probability, conscience of FIG. 8 (3) Parameter setting means (for example, the server processing unit 200s, the game management unit 210, the algorithm rank setting unit 233, and step S28 of FIG. 20) that sets the appearance rate of one blow based on the organization of the group;
Using the parameters set by the parameter setting means, automatic control means for automatically controlling the behavior of the group in accordance with the behavior algorithm set by the behavior algorithm setting means (for example, the server processing unit 200s in FIG. 11, a game This is a program for causing the computer to function as the management unit 210, the automatic control unit 250, and steps S78 and S80 in FIG.

Group organization is to determine the composition of a group, such as the number of objects that make up the group, the types of objects that make up the group, the number of components for each type, and the positional relationship of the objects.
Diversity of group organization depends on the group specifications (for example, maximum number of object components, position / range where objects can be placed, number of sub-groups included, etc.). Diversify the types of groups organized.

  And according to 1st invention, the action algorithm according to the organization of a group is selected, and also the parameter which concerns on the said action algorithm is set. Further, when the group is automatically controlled, the group is controlled using the selected behavior algorithm and the set parameter value. That is, the behavior when automatically controlling the group is determined depending on what group the player organizes, and thus it is possible to bring unprecedented diversity to the behavior of the group.

  In the second invention, the behavior algorithm includes a plurality of behavior patterns (for example, a movement target position selection method 563 and an attack target selection method 564 in FIG. 15) in one behavior algorithm, and The computer further functions as behavior pattern selection means (for example, behavior pattern selection unit 251 in FIG. 11, appearance rate 565 in FIG. 15, step S110 in FIG. 22) for selecting a behavior pattern with a corresponding selection probability, and the automatic control The means is the program according to the first aspect of the invention, which automatically controls the group according to the behavior pattern selected by the behavior pattern selection means.

  According to the second invention, a plurality of behavior patterns included in one behavior algorithm are selected and applied based on the organization of a group to be subject to automatic control. Therefore, the group behavior by automatic control (specifically, the behavior of each object constituting the group) reflects the characteristics of the group structure. The player can feel as if he / she is operating.

  According to a third aspect of the present invention, mutual compatibility (for example, the relationship between the three curves in FIG. 4) corresponding to the attributes of the object is defined for the object, and the action pattern selection means constitutes the group The behavior pattern of each object is selected based on the selection probability corresponding to the affinity between the object and the enemy object (for example, the appearance probability 565 of “free choice from the good partner” in FIG. 15 (2), The program according to the second item, which is selected using the appearance probability 565) of “free selection from among”.

  According to the third aspect of the invention, it is possible to realize control as if the user is acting in consideration of compatibility with the enemy. As diversity increases, it is possible to give the player a feeling as if a human being is operating even though automatic control is performed.

  According to a fourth aspect of the invention, there is provided property determination means (for example, the server processing unit of FIG. 11) for determining the property of the group (for example, the first requirement or the second requirement of the selection condition 542 in FIG. 6) based on the organization of the group. 200s, a game management unit 210, a group property determination unit 231 and step S24 in FIG. 20), the computer further functions, and the behavior algorithm selection means selects a behavior algorithm according to the property of the group, A program according to any one of the third inventions.

According to the fourth invention, an action algorithm to be applied to the group can be selected according to the property of the group, in other words, the characteristics of the group estimated from the group configuration.
Therefore, for example, a group composed of objects that are suitable for a long-distance attack and do not have a melee attack capability can be automatically controlled so as to take a long-distance attack without performing a quick action such as making a melee attack. The behavior of a group becomes natural according to the nature of the group.

  According to a fifth aspect of the present invention, the action controlled by the automatic control means includes an attack and / or defense, and the parameter setting means has an execution success probability of the action controlled by the automatic control means (for example, Probability setting means for setting “attack success probability” and “enemy attack avoidance probability” in FIG. 8 (2) based on the organization of the group (for example, action success probability setting unit 235 in FIG. 11, S120 in FIG. 22). To S122), the program according to any one of the first to fourth inventions.

  According to the fifth aspect, it is possible to set the execution success probability of the action by the automatic control based on the organization of the group. Therefore, diversity can be further increased. In addition, the quality of the organization is easily reflected in the match result.

  According to a sixth aspect of the present invention, the computer further functions as a property determination unit that determines the property of the group based on the organization of the group, and the probability setting unit sets the execution success probability based on the property of the group. This is the program of the fifth invention.

  Furthermore, according to the sixth aspect, the probability of successful execution of the action by automatic control can be set based on the property of the group. Therefore, diversity can be further increased. In addition, the quality of the organization is easily reflected in the match result.

  In the seventh invention, the property determining means determines by including the similarity (for example, x1, x2, x3 in FIG. 8 (1)) of the objects constituting the group, and the probability setting means The program according to the sixth invention sets the execution success probability higher as it is determined that the similarity determined by the property determination means is higher (for example, FIGS. 8 (2) and (3)).

  According to the seventh aspect, since the execution success probability can be set according to the similarity of the objects constituting the group, the diversity can be further increased, and the quality of the organization is easily reflected in the battle result.

  In an eighth aspect of the invention, when the automatic control means controls execution of an attack action, whether or not the attack damages the enemy object using the execution success probability set by the probability setting means. (For example, step S130 of FIG. 22) is a program of the seventh invention.

  According to the eighth aspect, the quality of the group organization is easily reflected in the game result.

  According to a ninth aspect of the invention, the property determining means determines the property of the group by including the arrangement position of the objects constituting the group in the property determination standard (for example, the second requirement in FIG. 6). The program according to any one of the sixth to eighth aspects.

  According to the ninth aspect, the arrangement positions of the objects constituting the group can be used for determining the property of the group. Therefore, in a game that deals with a group that acts in groups such as the front row, the middle row, and the rear row, it is possible to select the behavior algorithm of the group in consideration of where to place which object.

  In a tenth aspect of the invention, the property determination means determines the property of the group by including at least one of the type, attribute, and level of each object constituting the group in the property determination criteria (for example, FIG. 8 (1)), and the program according to any one of the fourth and sixth to ninth inventions.

  According to the tenth aspect, it is possible to select a group behavior algorithm in consideration of where to place which object. Therefore, the diversity of behavior by the automatic control of the group can be increased. In addition, since the validity of the composition of the group and the selected action algorithm is improved, it is easy to give an impression as if a group is operating a group that is automatically controlled.

  According to an eleventh aspect, in the fourth aspect, the property determination means determines that the property of the group includes an ability index value (for example, the third requirement in FIG. 6 and the algorithm rank 633 in FIG. 16) indicating the ability of the action. And a program according to any one of the sixth to tenth aspects.

  According to the eleventh aspect, it becomes possible to select an action algorithm according to the ability level of action as a group. Differences occur in the behavior of automatic control according to the ability of the group, and diversity is further improved.

  A twelfth aspect of the present invention is behavior algorithm notification control means (for example, adapted behavior algorithm display sections 53 and 63 in FIG. 9 and advice in FIG. 10) for controlling the behavior algorithm selected by the behavior algorithm selection means to the user. Any one of the first to eleventh inventions for causing the computer to further function as a display unit 74, a server processing unit 200s in FIG. 11, a game management unit 210, a behavior algorithm notification control unit 220, and a step S202 in FIG. It is a program.

  According to the twelfth aspect, since the selected behavior algorithm is notified to the user, the user can help to evaluate the organization of his / her group. Therefore, it is possible to expect an effect of increasing the motivation that the user wants to form a stronger group, that is, the motivation for game play.

  The thirteenth aspect of the present invention is a battle situation statistics notification control means (for example, a battle situation statistical value display section 69 in FIG. 9) for performing control to notify the user of battle situation statistics associated with the behavior algorithm selected by the behavior algorithm selection means. 11 for making the computer further function as the server processing unit 200s, the game management unit 210, the battle situation statistics unit 270, the battle situation statistics display control unit 272, or the step S200 in FIG. It is a program of the invention.

Battle status statistics are statistics that describe actions during battle and the results of battles. For example, it is possible to appropriately include the ally's bullet rate, the probability of attacking a good enemy, and the like.
According to the thirteenth aspect, it is possible to provide information for knowing what action the statistically controlled group has taken and what results have been obtained. Therefore, providing the user with material to determine whether the organization of the group has performed the desired action and obtained the desired result, and motivated to organize the group that matches the user's idea, that is, to game play Expected to increase motivation.

  A fourteenth aspect of the present invention is a server system that communicates with a user terminal and controls execution of a battle game in which a group composed of a plurality of objects battles an enemy object according to a user's composition operation. Based on the organization of the group, the behavior algorithm setting means for setting the behavior algorithm executed by the group according to the organization of the group, and the parameters related to the behavior algorithm set by the behavior algorithm setting unit from among the behavior algorithms Parameter setting means for setting, and automatic control means for automatically controlling the behavior of the group in accordance with the behavior algorithm set by the behavior algorithm setting means, using the parameters set by the parameter setting means. Server system.

  According to the fourteenth aspect, effects similar to those of the first aspect can be obtained.

The figure which shows an example of a structure of a game system. The perspective external view which shows the structural example of a player terminal. The figure for demonstrating a game cycle. The figure which shows the example of the attribute provided to a character, and the example of a mutual relationship. The figure which shows the example of a game screen at the time of new group organization. The figure for demonstrating selection of an action algorithm. The figure which shows the example of description display of an action algorithm. The figure for demonstrating the calculation method and effect of an algorithm rank. The figure which shows the example of a display of the game screen in battle | competition. The figure which shows the example of a screen which announces a battle result. The functional block diagram which shows the function structural example of the server system in 1st Embodiment. The figure which shows the example of the program and data which the server memory | storage part in 1st Embodiment memorize | stores. The figure which shows the data structural example of character initial setting data. The figure which shows the data structural example of action algorithm definition data. The figure which shows the data structural example of a probability setting table. The figure which shows the data structural example of user management data The figure which shows the data structural example of matching candidate registration data. The figure which shows the data structural example of play data. The flowchart for demonstrating the flow of the process which concerns on a server system from the game start to completion | finish. The flowchart for demonstrating the flow of group organization processing. " The flowchart for demonstrating the flow of a battle | competition play process. The flowchart for demonstrating the flow of an automatic battle process. The flowchart following FIG. The functional block diagram which shows the function structural example of the server system in 2nd Embodiment. The functional block diagram which shows the function structural example of the player terminal in 2nd Embodiment. The functional block diagram which shows the function structural example of the server system in a modification. The figure which shows the example of a game screen at the time of the new group organization in a modification. The flowchart for demonstrating the flow of the battle | competition play process in a modification. The figure which shows the example of a game screen at the time of the new group organization in a modification. The figure which shows the example of a game screen at the time of the new group organization in a modification.

[First Embodiment]
As a first embodiment to which the present invention is applied, an online battle game in which a group formed by players who are users will battle will be described as an example.

  FIG. 1 is a diagram illustrating an example of a configuration of a game system in the present embodiment. The game system of this embodiment includes a server system 1100 that can be connected to the communication line 9 and a player terminal 1500 that can perform data communication with the server system 1100.

  The communication line 9 means a communication path capable of data communication. That is, the communication line 9 includes a communication network such as a telephone communication network, a cable network, and the Internet in addition to a dedicated line (dedicated cable) for direct connection and a LAN (Local Area Network) using Ethernet (registered trademark). This means that the communication method may be wired or wireless.

  The server system 1100 includes, for example, a main device 1101, a keyboard 1106, a touch panel 1108, and a storage 1140. A control board 1150 is mounted on the main device 1101. The control board 1150 includes a CPU (Central Processing Unit) 1151, a GPU (Graphics Processing Unit), various microprocessors such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), various ICs such as a VRAM, a RAM, and a ROM. A memory 1152 and a communication device 1153 are installed.

  The server system 1100 performs arithmetic processing on the control board 1150 based on predetermined programs and data, thereby 1) a user management function related to user registration and game card use registration, and 2) a player 2 is a player A game management function that provides data necessary for playing a game on the terminal 1500 and an online shopping function that sells content such as items that can be used in the game are realized. That is, the video game of this embodiment is realized as a kind of client-server online game.

  In the example of FIG. 1, the server system 1100 is described as a single unit, but a plurality of blade servers that share the user management function, online shopping function, and game management function are installed, and data is mutually transmitted via an internal bus. A configuration in which communication is possible may be used. Alternatively, the server system 1100 may be configured to function as a whole by performing data communication with a plurality of independent servers installed at remote locations via the communication line 9.

FIG. 2 is a front external view showing a configuration example of the player terminal 1500.
The player terminal 1500 is a computer that can connect to the communication line 9 and access the server system 1100, and is an electronic device (electronic device). The player terminal 1500 according to the present embodiment is a device classified as a so-called smartphone, but is a portable game device, a stationary home game device, a game controller for a stationary home game device, an arcade game device, a personal computer, or a tablet type. It may be a device classified as a computer, a wearable computer, or the like.

  The player terminal 1500 in this embodiment includes a direction input key 1502, a button switch 1504, a touch panel 1506 functioning as an image display device / contact position input device, a speaker 1510, a built-in battery 1509, a microphone 1512, and an image sensor. A unit 1520, a control board 1550, and a memory card reader 1542 that can read and write data from a memory card 1540, which is a computer-readable storage medium, are provided. In addition, a power button, a volume control button, etc., not shown, are provided. In addition, an IC card reader or the like that can read and write data without contact with an IC card type credit card or prepaid card may be provided.

  The control board 1550 wirelessly communicates with the CPU 1551, various microprocessors such as GPU and DSP, various IC memories 1552 such as VRAM, RAM, and ROM, and mobile phone base stations and wireless LAN base stations connected to the communication line 9. The wireless communication module 1553 is mounted. In addition, a driver circuit of the touch panel 1506, a circuit that receives signals from the direction input key 1502 and the button switch 1504, an output amplifier circuit that outputs an audio signal to the speaker 1510, and an input signal that generates an audio signal collected by the microphone 1512 A so-called I / F circuit 1557 (interface circuit) such as a generation circuit, an input of image data photographed / generated by the image sensor unit 1520, a signal input / output circuit to the memory card reader 1542, and the like are mounted. Each element mounted on the control board 1550 is electrically connected via a bus circuit or the like, and is connected so that data can be read and written and signals can be transmitted and received. Note that a part or all of the control board 1550 may be configured by ASIC or FPGA.

  The control board 1550 temporarily stores in the IC memory 1552 a program and data for realizing game play on the player terminal 1500. Then, a program is executed to execute arithmetic processing, and each part of the player terminal 1500 is controlled according to operation inputs from the direction input key 1502, the button switch 1504, and the touch panel 1506 to enable game play. In this embodiment, the player terminal 1500 is configured to acquire necessary programs and various setting data from the server system 1100, but may be configured to read from a storage medium such as a memory card 1540 obtained separately.

  Returning to FIG. 1, the player 2 needs to obtain the game card 3 as advance preparation for playing the game of the present embodiment. In addition, a user ID (account) is obtained through a user registration procedure. Then, a card registration procedure for making the acquired game card 3 available (valid) in the game is performed, and using the activated game card 3 (more specifically, data associated with the game card 3: specific In particular, a game is played using a character or the like.

  User registration is realized by accessing a website provided by the server system 1100 and performing a predetermined procedure. When the user is registered, a user ID (account: player-specific ID) is issued. Thereafter, the player 2 accesses the website and logs in with the issued user ID, thereby enabling card registration procedures, game start operations, and the like.

The game card 3 is an element necessary for playing the game in the present embodiment, that is, a game play element, and constitutes part of the game content.
The game card 3 may be an actual card (so-called “trading card”), or may be a virtual card with no actual electronic information only. In the case of a card having an entity, for example, a predetermined number (for example, two or five) may be sold as one package at an actual store. In the case of a virtual card, each time a user logs in or every time a lottery right acquired separately is used, a predetermined number is given by lottery, an online shopping site realized by the server system 1100, or a publicly known card It is preferable to be able to purchase on an online shopping site. Note that the form of the game play element is not limited to the card, and can be set as appropriate. For example, a three-dimensional modeled object that imitates the appearance of characters, items, and the like may be used. In that case, it is more preferable to adopt a form having properties as a collection item in addition to game play including size and design.

  In the present embodiment, one character 4 is assigned to one game card 3. There are a plurality of game cards 3 to which the same character 4 is assigned, but the game cards 3 are individually different. Therefore, each game card 3 is given a unique card ID, and the card ID is printed or displayed with a bar code 5 or the like.

  When user registration is performed, user management data 600 associated with the user ID is created in the server system 1100 (for example, the storage 1140). When the player 2 declares the card ID of the game card 3 and performs a card registration procedure, the newly registered game card 3 is registered in the valid card list 604 of the user management data 600. Thereby, the character 4 of the newly registered game card 3 can be used in the game.

  In the card registration procedure, the card ID printed on the game card 3 may be input with a keyboard or the like, or the card ID is read by photographing the barcode 5 with the image sensor unit 1520 of the player terminal 1500. It is good also as a structure.

[Description of game contents]
FIG. 3 is a diagram for explaining a game cycle of the present embodiment.
The game of this embodiment is a battle game in which a group organized by a plurality of objects and another group are battled according to a user's organization operation.
As shown in FIG. 3A, first, the player 2 forms a group 6 using the characters 4 linked to the registered game card 3 as constituent objects, and registers the formed group 6 as matching candidates. Begins. At this time, an action algorithm to be applied when automatically controlling the group is set based on the types and number of characters 4 constituting the group 6 and the arrangement positional relationship. Details of the behavior algorithm and its setting will be described later.

  As shown in FIG. 3 (2), the player 2 selects one group 6 created by him / her to be his own army, selects one group 6b of another player 2b registered as a matching candidate, and then selects an enemy army. Play a battle game as At this time, it is possible to select whether the player 2 himself / herself inputs an operation to control the action of the army group 6 or automatically controls using the action algorithm set at the time of group formation. The enemy group 6b is automatically controlled based on a behavior algorithm. That is, the computer operates. At this time, the player 2 is notified of the set behavior algorithm for the side that is automatically controlled.

  As shown in FIG. 3 (3), when the battle play is completed, the result of winning or losing or the result of the battle is announced. Experience values are added to the characters 4 of the groups 6 and 6b who participated according to the battle record. That is, the character 4, that is, the groups 6 and 6 b are grown and strengthened through the battle. If attention is paid to the group 6b, it means that the other player 2b who created the group can grow it without using it.

  Since the announcement of the result of the match play and the win / loss result includes a notification of the action algorithm applied to the automatic control, the player 2 should create a stronger group in consideration of the win / loss result, the battle record, and the applied action algorithm. The group organization can be strengthened. In other words, in the game of the present embodiment, it is motivated and motivated by competing to create a stronger group than anyone by fighting the group that they organized.

  As shown in FIG. 4, three characters “attributes” of “melee attack type”, “medium range attack type”, and “long range attack type” having different attack ranges are provided in advance for the characters 4 constituting the group. They are prepared and each attribute is assigned. In these three types of attributes, the relationship between the strengths and weaknesses at the time of the battle constitutes a so-called “three-way”. The player 2 organizes a group in consideration of the relationship between the three sides.

FIG. 5 is a diagram showing an example of a game screen at the time of new group organization.
The organization of the group 6 is performed by selectively arranging the characters 4 in a predetermined arrangement frame 12.
In the present embodiment, as the arrangement frame 12 on which a group can be arranged, a quadrangular arrangement frame 12 that can arrange only one character 4 (appearance is a rhombus because FIG. Being done. The shape of the arrangement frame 12 may be another polygon (for example, a triangle or a hexagon), and the vertical and horizontal numbers of the arrangement frame 12 can be appropriately set.

  When a new group 6 is formed, the arrangement frame 12 is displayed on the group formation screen W4, and the character list display unit 14 for the character 4 that the player 2 has already enabled is displayed so as to be scrollable. . The player 2 determines the arrangement by dragging and dropping the character icon 16 from the column of the desired character 4 in the character list display section 14 toward the empty arrangement frame 12. Incidentally, the arrangement can be canceled by dragging and dropping the character icon 16 displayed in the arrangement frame 12 to the outside of the frame.

  When the character 4 is arranged, the composition of the group 6 at that time changes. Then, an action algorithm is automatically selected according to the changed configuration, and an algorithm rank applied to the selected action algorithm is automatically determined.

  In the present embodiment, an action algorithm that matches the selection condition of the current group 6 is selected and displayed on the adaptive action algorithm display unit 20 so as to be selectable, and selected by slightly changing the structure of the current group 6 Another behavior algorithm that satisfies the condition can be displayed on the semi-adapted behavior algorithm display unit 22. In this embodiment, when there are a plurality of action algorithms that match the selection condition, for example, a randomly selected action algorithm is selected as the action algorithm to be actually applied. It is good also as a structure determined by operation.

  It should be noted that other operation input icons such as an action algorithm selection operation input and a composition confirmation operation input may be appropriately set within a range displayed when the group composition screen W4 is scrolled upward.

FIG. 6 is a diagram for explaining selection of a behavior algorithm, and is a diagram illustrating a data configuration example of a behavior algorithm selection table 540.
The server system 1100 stores in advance a behavior algorithm selection table 540 in which selection conditions 542 and behavior algorithm names 544 are associated with each other. Specifically, the action algorithm selection condition 542 in the present embodiment is composed of a combination of a plurality of requirements such as a first requirement, a second requirement,. One action algorithm name 544 is assigned to one combination.

  The behavior algorithm name 544 associated with the selection condition 542 that satisfies all requirements is set as the “adapted behavior algorithm”. Each requirement of the selection condition 542 is given a determination priority, and an action algorithm associated with the selection condition 542 that does not satisfy only a predetermined number (for example, one or two) of the requirements lower than the priority is provided. “Semi-adapted behavior algorithm”.

  Returning to FIG. 5, the adaptive behavior algorithm and the semi-compliant behavior algorithm selected at that time are displayed on the adaptive behavior algorithm display unit 20 and the semi-compliant behavior algorithm display unit 22, respectively. These displays also serve as detailed display operation input icons. When a touch operation is detected, an explanation display of the action algorithm is displayed in a pop-up manner.

FIG. 7 is a diagram illustrating a display example of the behavior algorithm.
For example, as shown in FIG. 7A, the pop-up display 30 when the adaptive action algorithm display unit 20 is touch-operated includes, for example, a title 31, an action algorithm name 33, and an explanatory text display unit 35. . Therefore, if the suitable behavior algorithm display unit 20 is touch-operated, the player 2 can know what behavior algorithm can be applied to the current configuration of the group 6.
Further, in the pop-up display 30 when the semi-adapted action algorithm display unit 22 is touched, for example, as shown in FIG. 7 (2), for example, a title 31, an action algorithm name 33, a selection condition 34, and an explanatory text display Part 35 is included. The selection condition 34 discloses requirements for the composition of a group for applying the behavior algorithm. Therefore, the player 2 can know the possibility of arranging the current group composition.

  Returning to FIG. 5, the algorithm rank applied to the adaptive behavior algorithm display unit 20 is an indicator of the strength of the group in the battle, and the higher the rank is, the higher the ranking is for the same behavior algorithm. The algorithm rank applied at that time is automatically determined by the configuration of the group 6 and displayed on the rank display unit 23.

FIG. 8 is a diagram for explaining an algorithm rank calculation method and effects.
As shown in FIG. 8 (1), the algorithm rank is defined by a function f (x1, x2,...) In which values of a plurality of parameters describing the composition of the group are variables x1, x2,. In the present embodiment, the parameters representing the properties of the group 6 include “the number of characters having the same attribute constituting the group (x1)”, “the number of characters of the same type constituting the group (x2)”, and “the group The median level of the constituent characters (x3) ”is used. The algorithm rank is set higher as the number of characters (x1) having the same attribute constituting the group increases, that is, the group is set stronger. The algorithm rank is set higher as the number (x2) of characters of the same type constituting the group is larger and as the median level (x3) of the characters is higher. The parameters that can be used as variables are not limited to these, and can be set as appropriate according to the game content.

  As shown in FIG. 8B, the higher the algorithm rank, the higher the attack success probability and the avoidance probability of avoiding enemy attacks, that is, the attack and defense execution success probability. In addition, the higher the algorithm rank, the higher the appearance rate of “Meeting Strike” and “Meeting Defense”. In other words, the higher the algorithm rank, the more advantageous in battle and the stronger the group. Of course, the effect of the algorithm rank can be appropriately set according to the game content.

FIG. 9 is a diagram illustrating a display example of a game screen during a battle.
On the game screen during the battle, that is, the battle screen W6, a state in which a group of players and a group of other players registered as matching candidates are engaged is displayed.
The layout of the screen can be set as appropriate, but in the present embodiment, on the upper side of the screen,
1) an enemy group display section 50 on which the current situation of the enemy army group in the game space is drawn;
2) an enemy status display unit 51 for displaying various parameter values indicating the states of the characters 4 constituting the enemy group;
3) an adaptive behavior algorithm display unit 53 for notifying a behavior algorithm applied to the automatic control of the enemy group;
4) The rank display section 55 is displayed.

On the bottom side of the screen,
1) The player 2, that is, the own group display section 60 on which the current state of the group of the own army is drawn in the game space;
2) a self status display unit 61 for displaying various parameter values indicating the states of the characters 4 constituting the self group;
3) an adaptive behavior algorithm display unit 63 for notifying the behavior algorithm applied to the automatic control of the own group;
4) a rank display unit 65;
5) A battle situation explanation display section 67 for displaying a description of the battle situation in text or the like;
6) A battle statistic value display section 69 for displaying a statistic value (battle statistic value) of the battle situation relating to the army is displayed.

  The battle statistic value is a statistic value describing the battle situation, and is a statistic value representing the characteristics of the action algorithm. For example, statistical values related to attacks include “probability of selecting enemy characters with attributes that are good at attacking”, and conversely, “probability of selecting enemy characters with attributes that are not good”, and “front row of enemy groups. “Selected probability”, “Probability of selecting rear row”, “Probability of executing hit and away”, and the like can be employed. Of course, it is not restricted to these, It can set suitably according to the game content.

  It is assumed that the types of statistics displayed in the battle situation statistical value display unit 69 are set in advance for each behavior algorithm. The player 2 can determine whether or not the action algorithm applied to his / her group 6 is functioning as expected by looking at the display of the battle situation statistical value display unit 69. If it is not functioning and is not expected, it is sufficient to adjust the organization of the group 6 used this time, search for a group organization to which an action algorithm satisfying the expectation is applied, and try again.

FIG. 10 is a diagram illustrating an example of a screen for announcing a battle result.
The competition result announcement screen W8 includes 1) a winning / losing display unit 70 for displaying the result of winning / losing, and 2) an acquired experience value displaying unit 72 for displaying a change in the character level accompanying the provision of the experience value and the provision of the experience value. 3) An advice display unit 74 that displays advice about the own group used this time is included.

In FIG. 10, the advice display unit 74 displays the semi-conforming behavior algorithm selected at the time of group organization. This display also serves as an icon for a touch operation. When a touch operation is detected, an explanation display of the semi-conforming action algorithm is displayed in a pop-up (see FIG. 7).
The player 2 evaluates the work of the group used this time from the content of the battle result announcement screen W8 and adjusts the group organization or makes a new group organization with reference to the display of the advice display unit 74. be able to.

[Description of functional configuration]
FIG. 11 is a functional block diagram illustrating a functional configuration example of the server system 1100 according to the present embodiment. The server system 1100 in the present embodiment includes an operation input unit 100s, a server processing unit 200s, an image display unit 392s, a communication unit 394s, and a server storage unit 500s.

  The operation input unit 100s is a means for inputting various operations for server management. In the example of FIG. 1, the keyboard 1106 corresponds.

  The server processing unit 200s is realized by, for example, a microprocessor such as a CPU or GPU, an electronic component such as an ASIC (Application Specific Integrated Circuit), an IC memory, and the like, and includes each function unit including the operation input unit 100s and the server storage unit 500s. Data input / output control between Then, various arithmetic processes are executed based on a predetermined program and data, an operation input signal from the operation input unit 100s, and data received from a player terminal such as the player terminal 1500, and the operation of the server system 1100 is integrated. Control. In the example of FIG. 1, the control board 1150 corresponds to this.

  The server processing unit 200s of the present embodiment includes a user management unit 202, an online shopping management unit 204, a game management unit 210, an image generation unit 292s, and a communication control unit 294s.

The user management unit 202 performs processing related to the user registration procedure and registration management processing of various data associated with registered users.
For example, 1) a process for issuing a unique user ID to a user who has passed a predetermined registration procedure, that is, a player, 2) a process for associating an electronic payment medium used for electronic payment, and 3) setting an account for electronic payment. 5) Payment processing to the account using cash or credit card 5) Payment processing such as payment of play consideration, 6) Storage management of payment history, 7) Login processing, 8) Registration process processing of game content to be used (this book) In the embodiment, a card registration procedure of the game card 3) can be performed.

  The online shopping management unit 204 enables online purchase of game content (game card 3 in this embodiment), items, lottery rights, event participation rights, game points, and the like. This can be realized in the same manner as known online shopping.

The game management unit 210 performs various processes related to game play.
Since the online game of this embodiment is a kind of client-server online game, the game management unit 210 activates the game requested to be executed from the player terminal 1500 and communicates with the player terminal 1500 while performing the game. Control to provide data necessary for play. For example, not only matching of opponents but also formation of a game space corresponding to a battlefield in a virtual three-dimensional space and arranging the characters 4 of both groups 6 to fight against each other can control their movements. In addition, attack hit determination processing, damage reflection processing, win / loss determination processing, turn count and elapsed time count processing, play history update processing, and processing to grow the character 4 participating in the battle according to play results are possible. is there. In addition, processing necessary for game progress control can be appropriately executed according to the game content.

  And the game management part 210 in this embodiment is the group organization part 212, the conformity action algorithm selection part 214, the semi conformity action algorithm selection part 216, the action algorithm notification control part 220, the rank display control part 222, A parameter setting unit 230, an automatic control unit 250, a battle situation statistics unit 270, and a battle situation statistics value display control unit 272 are included.

  The group organization unit 212 performs control for newly organizing a group and changing the configuration of an existing group. Specifically, the group composition screen W4 (see FIG. 5) is displayed on the player terminal 1500, and the group to be organized according to the operation input, the ID of the assigned character 4, and the layout indicating the layout position. Group ID is realized by acquiring the ID of the frame 12 from the player terminal 1500 and storing it in association with the user ID of the player 2.

  The suitable behavior algorithm selection unit 214 selects a behavior algorithm suitable for the organized group. Specifically, the behavior algorithm name 544 that satisfies all the requirements is extracted by comparing the properties based on the organization of the group with the requirements of the selection conditions 542 of the behavior algorithm (see FIG. 6). Then, any one of the extracted behavioral algorithms is selected in accordance with a random lottery process or a selection operation input by the player 2 and determined as an adaptive behavior algorithm that is actually applied to automatic control.

  The semi-conforming behavior algorithm selection unit 216 selects a behavior algorithm that is similar to the conforming behavior algorithm and satisfies the selection condition 542 by changing a part of the organized group as a semi-conforming behavior algorithm. Specifically, an action algorithm corresponding to a selection condition that satisfies one or two of the requirements of the selection condition 542 but satisfies other requirements is extracted.

The behavior algorithm notification control unit 220 controls display of the identifier (for example, text and icon of the behavior algorithm name) in order to notify the player 2 of the suitable behavior algorithm or the semi-adapted behavior algorithm.
In this embodiment, 1) display control of the conforming action algorithm display unit 20 and the semi-conforming action algorithm display unit 22 on the group organization screen W4 (see FIG. 5), and 2) the enemy army on the battle screen W6 (see FIG. 9). Display control of the conforming behavior algorithm display unit 53 and the conforming behavior algorithm display unit 63 related to the own arm is performed. In addition, 3) display control of the identifiers of the adaptive behavior algorithm and the semi-compliant behavior algorithm in the winning / losing display section 70 and the advice display section 74 of the competition result announcement screen W8 (see FIG. 10) is performed.

  The rank display control unit 222 performs algorithm rank display control. In this embodiment, 1) display control of the rank display unit 23 on the group organization screen W4 (see FIG. 5), and 2) a rank display unit 55 related to the enemy army and a rank related to the own army on the battle screen W6 (see FIG. 9). Display control of the display unit 65 is performed. 3) It is possible to perform display control of the algorithm rank in the winning / losing display section 70 of the battle result announcement screen W8 (see FIG. 10).

  The parameter setting unit 230 sets parameter values related to the behavior algorithm based on the organization of the group 6. In the present embodiment, a collective property determination unit 231, an algorithm rank setting unit 233, and an action success probability setting unit 235 are included.

The group property determination unit 231 determines the property of the group based on the organization of the group 6. The “property” here is a content that is considered when selecting an action algorithm.
In the present embodiment, “property” is determined based on the requirements of the selection condition 542 of the behavior algorithm selection table 540. Specifically, the number of the same attributes of the characters 4 constituting the group 6 (x1 in FIG. 8 (1)), the number of the same kind of characters (x2 in FIG. 8 (1)), Parameters considered when determining the algorithm rank, such as the median level (x3 in FIG. 8 (1)) and the arrangement position relationship, correspond to “property”, and the collective property determination unit 231 calculates these values. can do. Of course, the parameters corresponding to the properties can be set as appropriate according to the game contents.

  The algorithm rank setting unit 233 determines the algorithm rank. Specifically, it is calculated by a predetermined function f having a predetermined parameter value describing the group organization as a variable (see FIG. 8).

  The action success probability setting unit 235 sets the execution success probability of the action controlled by the automatic control means based on the organization of the group 6, particularly the property of the group. In the present embodiment, for example, “attack success probability” and “enemy attack avoidance probability” in FIG.

The automatic control unit 250 automatically controls the characters 4 of the group 6 to be automatically controlled in the battle play according to the adaptive behavior algorithm set for the group.
In the present embodiment, an action pattern selection unit 251 is included.
The behavior pattern selection unit 251 selects the behavior pattern of the characters 4 in the group with a selection probability corresponding to the organization of the group to be automatically controlled. The action pattern of the present embodiment is defined as, for example, a method for selecting a movement target position or an attack target, and a selection probability according to the organization of the group is set as the appearance rate in each selection method. The behavior pattern selection unit 251 determines the actual behavior pattern of the character 4 by selecting a selection method by lottery according to the set appearance rate.

  The battle situation statistics unit 270 sequentially updates predetermined types of statistical values describing the battle situation from the start to the end of the battle.

  The battle situation statistical value display control unit 272 displays battle situation statistical values on the battle screen W6 sequentially (see FIG. 9). In the present embodiment, when the player 2 automatically controls his / her own army, a statistical value of a type associated with the action algorithm applied to the own army group participating in the battle is displayed on the battle situation statistical value display unit 69. .

  The image generation unit 292s is realized by, for example, a processor such as a GPU or a digital signal processor (DSP), a program such as a video signal IC or a video codec, an IC memory for a drawing frame such as a frame buffer, or the like. Then, the image generation unit 292 s generates data for displaying an image of the game screen on the player terminal 1500 based on the processing result by the game management unit 210. In addition, other images necessary for system management are generated and an image signal is output to the image display unit 392s.

  The image display unit 392s displays various images for system management based on the image signal input from the image generation unit 292s. For example, it can be realized by an image display device such as a flat panel display, a cathode ray tube (CRT), a projector, or a head mounted display. In the example of FIG. 1, the touch panel 1108 corresponds.

  The communication control unit 294s executes data processing related to data communication, and realizes data exchange with an external device via the communication unit 394s.

  The communication unit 394s is connected to the communication line 9 to realize communication. For example, it is realized by a wireless communication device, a modem, a TA (terminal adapter), a cable communication cable jack, a control circuit, or the like. In the example of FIG. 1, the communication device 1153 corresponds.

  The server storage unit 500s stores a system program for realizing various functions for causing the server processing unit 200s to control the server system 1100 in an integrated manner, a program necessary for managing a game, various data, and the like. Further, it is used as a work area for the server processing unit 200s, and temporarily stores calculation results and the like executed by the server processing unit 200s according to various programs. Such a function is realized by, for example, an IC memory such as a RAM or a ROM, a magnetic disk such as a hard disk, an optical disk such as a CD-ROM or DVD, an online storage, or the like. In the example of FIG. 1, a storage medium such as an IC memory 1152 and a hard disk, and a storage 1140 correspond to this.

FIG. 12 is a diagram illustrating an example of programs and data stored in the server storage unit 500s according to the present embodiment.
The server storage unit 500s stores in advance a system program 501, a server program 502, a distribution client program 507, and game initial setting data 510. Further, the server storage unit 500s stores game card management data 590, user management data 600, matching candidate registration data 690, and play data 700 as data that are sequentially generated and updated. In addition, information such as a timer, a counter, and various flags can be stored as appropriate.

  The system program 501 is a basic program for realizing basic input / output functions necessary as a computer by being read and executed by the server processing unit 200s.

  The server program 502 is a program for realizing a function as a game server for online games. In the present embodiment, a user management program 503 for realizing a function as the user management unit 202, an online shopping management program 504 for realizing a function as the online shopping management unit 204, and a function as the game management unit 210. And a game management program 505 for realizing the above.

  The distribution client program 507 is a program to be executed on the player terminal 1500 in order to execute the game. The distribution client program 507 may be realized as a dedicated program, for example. Or if the game of this embodiment is implement | achieved as a web game, the web technique which controls a screen display actively using Java (registered trademark), CSS (Cascading Style Sheets), etc. with HTML based on a web browser. Alternatively, it may be realized by using a plug-in such as Adobe (registered trademark) Flash. Of course, other methods may be used.

  The game initial setting data 510 stores various initial setting data necessary for executing the game. A part of the information may be used for distribution to the player terminal 1500. In this embodiment, item initial setting data 512, character initial setting data 520, action algorithm selection table 540, and action algorithm definition data 550 are included. Of course, other data can be stored as appropriate.

  The item initial setting data 512 is prepared for each item that can be used in the game, and stores data defining the efficacy of the item together with the item ID.

  Character initial setting data 520 is prepared for each type of character 4 that can be used in the game. For example, as shown in FIG. 13, one character initial setting data 520 includes a character ID 521, character display data 522, character action control data 523, a character name 524, an attribute 525, and an initial ability parameter value. A list 530.

  The attribute 525 is information for classifying the character of the character. In this embodiment, the attribute 525 includes three types of “melee attack type”, “medium range attack type”, and “far range attack type”. It can be set as appropriate.

  The initial ability parameter value list 530 stores initial values such as various abilities of the character. For example, an experience value 531 indicating the degree of growth of the character and a level 532 are included. Further, an durability value 533 corresponding to HP (hit point) in the initial state, a range 534, an attack power 535, a defense power 536, and a movement power 537 are included. Of course, other data can be stored as appropriate.

  Returning to FIG. 12, the behavior algorithm selection table 540 stores the behavior algorithm name 544 in association with the selection condition 542 (see FIG. 6).

  The behavior algorithm definition data 550 is prepared for each behavior algorithm and stores various data defining the behavior algorithm. For example, as shown in FIG. 14, one behavior algorithm definition data 550 is associated with a behavior algorithm name 551, a plurality of probability setting tables 560 that define the behavior tendency of the character 4 of each attribute in the behavior algorithm, The and away activation rate 570 and the display target battle situation statistical type 572 are stored in association with each other. Of course, other data can be stored as appropriate.

  The probability setting table 560 defines a tendency for each basic action in battle. The basic action is a basic battle action classification, and can be appropriately set according to the game content such as movement, attack, defense, recovery, and support. In the present embodiment, there are three types of movement (movement only), attack (including approaching movement to the attack target), and recovery, and the character 4 can perform any of the actions in one turn. .

  For example, as shown in FIG. 15 (1), the probability setting table 560 to which “movement” is assigned as the basic action to be applied is 1) the basic application action type 561 set to “movement”, and 2) A basic action activation probability 562 in the action algorithm, and 3) a table in which the movement target position selection method 563 and the appearance rate 565 are associated with each other.

In FIG. 15A, the basic action activation probability 562 is a probability that “movement” is selected.
The contents of the movement target position selection method 563 each define an action pattern in the basic action “movement”, and can be set as appropriate according to the game contents and rules.
The appearance rate 565 is distributed so as to be “1.0”, that is, “100%” when all of them are combined. With this distribution and the movement target position selection method, an action tendency related to “movement” of the attribute in the action algorithm is shown. In the present embodiment, a probability is set according to the compatibility with each object constituting another group. In FIG. 15, the notation [] of the probability shown in the appearance rate 565 is an abbreviation representing a selection method.

  Similarly, as shown in FIG. 15 (2), the probability setting table 560 to which “attack” is assigned as the action classification to be applied is: 1) the applied basic action type 561 set to “attack”; 2) a basic action activation probability 562, and 3) a table in which an attack target selection method 564 and an appearance rate 565 are associated with each other. The content of the attack target selection method 564 can be appropriately set according to the game content and rules.

  In the present embodiment, it is assumed that a probability setting table 560 for a “recovery” basic action not shown elsewhere is prepared.

  Returning to FIG. 14, the hit and away activation rate 570 defines a probability of performing a hit and away action from an attacked enemy after one attack.

  The display target battle situation statistical type 572 defines the type of statistics displayed on the battle situation statistical value display unit 69 of the battle screen W6 (see FIG. 9). Multiple statistical types may be defined.

  Returning to FIG. 12, the game card management data 590 stores data describing the usage status of each game card 3 (see FIG. 1). For example, a character ID indicating a character associated with the game card and a registered flag indicating whether the game card is registered by the player are stored in association with the card ID unique to the game card. The initial value of the registered flag is “0 (not registered)”, but is changed to “1 (registered)” when a registration application is made in the card registration procedure. The user ID of the player 2 registered as a card may be further stored in association with the card ID.

User management data 600 is prepared for each player registered as a user.
One user management data 600 is, for example, as shown in FIG.
1) User ID 601
2) Play history data 602 that stores the play start date and time, the play end date and time, and the play results in association with each other in time series;
3) a valid card list 604 for storing card IDs of game cards 3 that have been registered;
4) Character save data 610 for storing data describing the situation of the character 4 made available by registration of the game card 3;
5) Owned item list 612 for storing item IDs of available items;
6) group organization data 630. Of course, other data can be stored as appropriate.

  The character save data 610 is prepared for each registered game card of the user, and the character ID indicating the character 4 assigned to the game card 3 and the ability parameter value (experience value, level, attack power) of the character. , Save data, etc.).

The group organization data 630 is prepared for each group created by the player 2 and stores various data defining the group organization.
For example, one group organization data 630 includes 1) a group name 631, 2) an algorithm rank 633, 3) an adapted behavior algorithm name 635, 4) a semi-adapted behavior algorithm name 637, and 5) a character ID by arrangement position. Table 639.

  The character ID table 639 by arrangement position is data indicating the relationship between the characters 4 constituting the group and their arrangement positions. In the present embodiment, the arrangement data of nine arrangement frames 12 (see FIG. 5) of the front row, middle row, and rear row, and the left wing, center, and right wing of each row is stored, and the character ID of the arranged character 4 is stored. To do. Note that a predetermined value (NULL) is set for an unplaced placement frame.

Returning to FIG. 12, the matching candidate registration data 690 is a record in which groups created by various players are registered as matching candidates for battle play. For example, as shown in FIG. 17, a registration date 691, a registrant user ID 692, a group name 693, and a battle record history 694 are stored in association with each other. Of course, data other than these can be stored in association with each other as appropriate.
As for the battle record history 694, not only the total number of wins and losses, but also a statistical history such as a win / loss rate for each tactical algorithm and a win / loss rate for each algorithm rank can be included as appropriate.

  Returning to FIG. 12, the play data 700 is prepared for each game being played and stores various data describing the progress of the game. One play data 700 includes, for example, a start date and time 701, a turn number 702, and group management data 710 for each group participating in the battle, as shown in FIG.

  One group management data 710 includes 1) a user ID 711 indicating a player who organized the group, 2) a group name 712, 3) an algorithm rank 713, 4) a conforming behavior algorithm name 714, and 5) a semi-conforming behavior. Algorithm name 715, 6) character status data 720 prepared for each character 4 constituting the group, and 7) battle situation statistical data 740 for storing various battle situation statistical values relating to the group. Of course, other data can be stored as appropriate.

  The group name 712, the algorithm rank 713, the conforming behavior algorithm name 714, and the semi-conforming behavior algorithm name 715 are copied from the group organization data 630 of the user management data 600 (see FIG. 16) with the matching user ID 711.

  One character status data 720 includes a character ID 721, a character name 722, an attribute 723, an arrangement position coordinate 724, an attack target position coordinate 725, a movement target position coordinate 726, and a latest ability parameter value list 730. . Of course, other data can be stored as appropriate.

The character ID 721, the character name 722, the attribute 723, and the initial arrangement position coordinates 724 are copied from the group organization data 630 of the user management data 600 (see FIG. 16) with the matching user ID 711.
In the latest ability parameter value list 730, the initial value is copied from the character initial setting data 520 (see FIG. 13) that matches the character ID 721, and is sequentially changed, for example, reflecting damage or the like as the battle progresses.

[Description of process flow]
FIG. 19 is a flowchart for explaining the flow of processing in the server system 1100 from the start to the end of the game.
The processing flow described here is implemented by the server system 1100 executing the server program 502. It is assumed that the player 2 has already completed user registration and card registration and is in a logged-in state. In addition, it is assumed that the player terminal 1500 executes the distribution client program 507 and establishes data communication with the server system 1100.

When the player terminal 1500 detects an input of a predetermined group organization operation, the player terminal 1500 transmits a group organization request to the server system 1100.
Upon receiving this, the server system 1100 determines that a group organization operation has been detected (YES in step S2), and executes a group organization process (step S4).

  FIG. 20 is a flowchart for explaining the flow of group organization processing in the present embodiment. The server system 1100 displays a group organization screen W4 (see FIG. 5) on the player terminal 1500 that is the source of the group organization request, and selects work mode options of “create new group” and “change existing group”. It is displayed (step S10).

The server system 1100 receives a work mode selection result from the player terminal 1500.
If “new creation” is selected (new creation in step S12), new group organization data 630 is created in the user management data 600, and the group organization screen W4 is empty (character 4 is not placed). The arrangement frame 12 and the character list display unit 14 are displayed (step S14).

  If “change existing group” is selected (change in step S12), the existing group is selected on the group organization screen W4 with reference to the group organization data 630 of the user management data 600 (see FIG. 16). The list is displayed as possible, and the selection input of the group to be changed is accepted (step S16). When the information on the group to be changed is received from the player terminal 1500, the configuration of the group to be changed and the character list display unit 14 are displayed (step S18).

Next, the server system 1100 changes the group configuration based on the character placement operation information received from the player terminal 1500 (step S22).
Then, in accordance with the change in the composition of the group, referring to the behavior algorithm selection table 540 (see FIG. 6), the matching behavior algorithm name 635 (see FIG. 16) is set in the group organization data 630 of the group, and the group organization The selection result is displayed on the screen W4 by the adaptive behavior algorithm display unit 20 (see FIG. 5) (step S24). At this stage, a plurality of matching behavior algorithm names 635 may be set.

Similarly, the semi-conforming action algorithm name 637 is selected and the semi-conforming action algorithm name 637 is set, and the selection result is displayed on the semi-conforming action algorithm display unit 22 on the group organization screen W4 (step S26).
Further, the server system 1100 determines the algorithm rank 633 according to the change in the group configuration, and displays it on the rank display unit 23 (see FIG. 5) (step S28).

While the group organization screen W4 is displayed, when the player terminal 1500 detects a touch operation on the conforming behavior algorithm display unit 20 or the semi-conforming behavior algorithm display unit 22, the detailed display operation request and the touch operation are performed. The identification information of the behavior algorithm is transmitted to the server system 1100.
Upon receiving this, the server system 1100 displays a pop-up display 30 (see FIG. 7) for the behavior algorithm requested by the player terminal 1500 (step S30).

When the composition end operation is input, in the present embodiment, the player terminal 1500 detects the composition end operation input and transmits a composition end request to the server system 1100.
When the server system 1100 receives this (YES in step S40), the server system 1100 determines an action algorithm that is actually applied by automatic control (step S42). In the present embodiment, the matching behavior algorithm name 635 (see FIG. 16) is limited to one. In the present embodiment, the selection is performed by random lottery processing. However, in the case of a configuration in which the player selects, if a step of accepting any selection operation from the adaptive behavior algorithm display unit 20 is provided after step S30 instead of the step. Good.

  Then, the data of the group that has been organized this time is saved (step S44), information about the group is added to the matching candidate registration data 690 (see FIG. 17), and registered as a matching candidate (step S46). The organization process ends.

  Returning to the flowchart of FIG. 19, when the server system 1100 receives a battle play start operation request from the player terminal 1500, the server system 1100 regards the battle start operation as a detection (YES in step S50), and executes a battle play process (step S52). .

FIG. 21 is a flowchart for explaining the flow of the battle play process.
In this process, the server system 1100 first causes the player 2 to select the group 6 to be used as the own army (step S70). For example, with reference to the group organization data 630 of the user management data 600, the player terminal 1500 displays a group selection list and receives the result of the selection operation.

  Next, the server system 1100 refers to the matching candidate registration data 690 and selects a group of enemy forces controlled by the computer (step S72). For example, it may be selected randomly from all the registered groups, or may be selected from those having a similar algorithm rank 633 with reference to the group organization data 630.

  Next, the server system 1100 causes the player 2 to select a play style (step S74). That is, the player terminal 1500 displays an option of operating the own army group “manually” or “automatically” using the adaptive behavior algorithm, and receives the selection result.

If “manual” is selected (manual of step S76), the server system 1100 sets the operation control according to the operation input at the player terminal 1500 for the own army, and the adaptive action algorithm name 635 for the enemy army. As the automatic control is performed by the “automatic battle process” based on the behavior algorithm shown, the game progress control is started (step S78).
On the contrary, if “automatic” is selected (automatic in step S76), the server system 1100 performs automatic control by “automatic battle processing” based on the behavior algorithm indicated by the adaptive behavior algorithm name 635 for both the own army and the enemy army. As a matter of fact, the game progress control is started (step S80).

  22 to 23 are flowcharts for explaining the flow of automatic battle processing, so-called AI processing. The automatic battle process is executed for each character 4 that remains capable of action.

In this process, the server system 1100 first determines the basic action of the character 4 to be processed. In the present embodiment, one of attack, movement, and recovery is determined (step S100).
Specifically, the behavior algorithm definition data 550 (see FIG. 14) indicated by the matching behavior algorithm name 635 of the group organization data 630 (see FIG. 16) of the group to be processed is referred to. Then, the basic action activation probability 562 (see FIG. 15) for each basic action type is read, and the basic action type is determined by lottery processing based on the read probability.

  If “attack” is selected as a result of the lottery (YES in step S102), the server system 1100 sets the number of retries as a control variable and initializes it to “0” (step S104).

  Next, the server system 1100 refers to the probability setting table 560 in which the applied basic action type 561 is “attack” (step S106; see FIG. 15B). Then, the appearance rate 565 of each attack target selection method 564 is temporarily stored in the storage unit 500, and the temporarily stored appearance rate 565 is used as the characteristics of the processing target of the automatic control process, for example, the level of the character 4 to be processed, The correction is made based on the algorithm rank 713 of the group 6 of the characters 4 (step S108).

Specifically, the appearance rate 565 for each attack target selection method 564 is sloped to achieve the tactical tendency of the behavior algorithm. In the correction, correction is made so as to increase the inclination distribution tendency. Further, for the correction, any one or both of the level of the character 4 to be processed and the algorithm rank 713 of the group 6 can be adopted.
For example, the value k1 corresponding to the level of the character 4 or the algorithm rank 713 is added to any of the maximum value appearance rates 565, while the same value k1 is subtracted from any of the minimum value appearance rates 565. Next, the value k2 corresponding to the level of the character 4 or the algorithm rank 713 is added to any of the second highest appearance rates 565, and any of the second lowest appearance rates 565 is unchanged. Subtract the equivalent value k2. It is possible to appropriately set how many times the same processing is repeated. Note that the values k1 and k2 are calculated by a predetermined function.

  Next, the server system 1100 performs a lottery process based on the corrected appearance rate 565, and selects any one of the attack target selection methods 564 (step S110). This corresponds to selecting the action pattern of the character to be processed.

  If the attack target selection method 564 is selected, an attack target is selected according to the method (step S112), and it is determined whether or not the character 4 that is the processing target can attack the attack target (step S114). For example, it is determined that an attack is possible when the attack target is within range, or when the target is out of range but can be within range by moving. In addition, the rule of availability can be set according to the game content.

  If the attack target is attackable (YES in step S114), the server system 1100 determines that the “attack of conspiracy” has a probability proportional to the algorithm rank 713 of the group on the attack side (turn side in this embodiment). The activation determination is performed (Step S116; see FIG. 8), and the activation determination of “confidential defense” is performed with a probability proportional to the algorithm rank 713 of the defending group (Step S118; see FIG. 8).

  Next, the server system 1100 calculates the attack success rate according to the algorithm rank 713 of the attacking group (step S120; see FIG. 8), and calculates the avoidance rate according to the algorithm rank 713 of the defending group ( Step S122; see FIG.

Then, the server system 1100 causes the character 4 to be processed to take an aggressive action (step S130).
Specifically, when the range is insufficient, the attack target is attacked after appropriate movement control. Then, the hit determination of the attack is performed based on the attack success probability, the avoidance rate, and the result of the determination of the activation of “between heart attack” and “between heart defense”. Then, the amount of damage is determined based on the attack power of the attacking character 4, the defense power of the defending character 4, etc., and the damage is reflected.

  Next, the server system 1100 determines whether or not the character 4 to be processed can be hit and away (step S132). For example, when the moving ability set for the character 4 is still remaining after being consumed to approach the attack target, it may be determined that hit and away is possible. In addition, the determination rule can be set as appropriate according to the game content and the like.

  If it is determined that the action is possible (YES in step S132), the action algorithm definition data 550 indicated by the matching action algorithm name 714 of the group of characters to be processed is referred to, and the lottery is performed according to the hit and away trigger rate 570 Is executed to control the activation (step S134; see FIG. 14).

  Incidentally, if it is determined in step S114 that an attack is impossible (NO in step S114), the control variable retry count is incremented by “1” (step S140), and the retry count does not reach the predetermined upper limit value. (NO in step S142), the attack target selection method is reselected (step S110). If no attackable target is found even when the number of retries reaches the upper limit (YES in step S142), the type of basic action is reselected (step S100).

  On the other hand, when “movement” of the basic action is selected in step S100 (YES in step S150 of FIG. 23), the server system 1100 sets the number of retries and initializes it to “0” (step S152), The probability setting table 560 with the action type 561 being “movement” is referred to (step S154).

  Then, the server system 1100 corrects the appearance rate 565 for each movement target position selection method 563 referred to in the same manner as in step S108 (step S156). Then, a lottery process is executed based on the corrected appearance rate 565 to select one of the movement target position selection methods 563 (step S158).

  If the movement target position selection method 563 is selected, a movement target position is selected according to the method (step S160), and it is determined whether the character 4 to be processed can move to the movement target position (step S162).

If it is possible to move (YES in step S162), the server system 1100 moves the character 4 to be processed to the movement target position (step S164).
If it is determined that the movement is impossible (NO in step S162), the control variable retry count is incremented by "1" (step S166), and the retry count does not reach the predetermined upper limit (step S168). NO), the movement target position selection method is reselected (step S158). If no attackable target is found even when the number of retries reaches the upper limit (YES in step S168), the type of basic action is reselected (step S100 in FIG. 22).

  On the other hand, when a basic action other than “attack” and “movement” is selected in step S100 (NO in step S130 of FIG. 23), the server system 1100 performs the same as shown in FIG. 22 and FIG. A method for determining the details of the basic action is selected based on the appearance rate 565 of the probability setting table 560, and specific details are determined by the selected method (step S170). For example, in the case of a “recovery” action, a recovery target selection method is determined at an appearance rate 565 for other characters on the team in addition to the character to be processed, the recovery target is selected, and the recovery action is executed.

  Returning to the flowchart of FIG. 21, as the game progress control is started, the server system 1100 starts calculating and displaying the battle status statistics for each of the own and enemy forces (step S200). Display of the matching behavior algorithm name and algorithm rank is started (step S202).

If the battle play satisfies a predetermined end condition (step S204), the server system 1100 displays a battle result announcement screen W8 (see FIG. 10) on the player terminal 1500 (step S220), and this time according to the battle record. A growth process such as assigning an experience value to the group of characters 4 used in the battle play is executed (step S222).
And save data etc. are updated (step S224) and a battle | competition play process is complete | finished. Specifically, the group data used for the current match play is group organization data 630, character save data 610 (see FIG. 16) of characters constituting the group, player 2 play history data 602, matching candidate registration. The battle record history 694 of the data 690 is updated, and the battle play process is terminated.

  Returning to the flowchart of FIG. 19, when a predetermined battle result confirmation operation input is detected at the player terminal 1500 and a battle result confirmation request is transmitted to the server system 1100, the server system 1100 regards it as a battle result confirmation operation ( In step S240, the user management data 600 and matching candidate registration data 690 are referred to, and the matching behavior algorithm name, algorithm rank, and battle history 694 for each group created by the player 2 are displayed on the player terminal 1500. (Step S242).

  When a predetermined game end operation input is detected at the player terminal 1500 and a game end request is transmitted to the server system 1100 (YES in step S244), a series of processing ends.

  As described above, according to the present embodiment, it is possible to bring diversity to the behavior of a group that is automatically controlled by a computer, thereby further enhancing the interest of the game.

[Second Embodiment]
Next, a second embodiment to which the present invention is applied will be described.
In the first embodiment, the main processing is executed by the server system 1100. However, in this embodiment, the player terminal 1500 has a game management function. Hereinafter, differences from the first embodiment will be described. Constituent elements similar to those of the first embodiment are given the same reference numerals, and redundant descriptions are omitted.

The configuration of the game system is the same as in the first embodiment.
The functional configuration of the server system 1100 is configured as shown in FIG.

Then, the functional configuration of the player terminal 1500 is configured as shown in FIG.
More specifically, the player terminal 1500 of the present embodiment includes an operation input unit 100, a processing unit 200, a sound output unit 390, an image display unit 392, a communication unit 394, and a storage unit 500.

  The operation input unit 100 outputs an operation input signal to the processing unit 200 in accordance with various operation inputs made by the player. For example, it can be realized by a push switch, a joystick, a touch pad, a track ball, an acceleration sensor, a gyro, a CCD module, or the like. The direction input key 1502, the button switch 1504, and the touch panel 1506 in FIG.

  The processing unit 200 is realized by, for example, a microprocessor such as a CPU or a GPU, or an electronic component such as an ASIC or an IC memory, and performs data input / output control with each functional unit including the operation input unit 100 and the storage unit 500. Do. Then, various arithmetic processes are executed based on predetermined programs and data, an operation input signal from the operation input unit 100, various data received from the server system 1100, and the like, and the operation of the player terminal 1500 is controlled. The control board 1550 in FIG. 2 corresponds to this. The processing unit 200 includes a game management unit 210, a sound generation unit 290, an image generation unit 292, and a communication control unit 294.

  The sound generation unit 290 is realized by, for example, a digital signal processor (DSP), a processor such as a voice synthesis IC, an audio codec that can play back an audio file, and the like, based on the processing result by the game management unit 210, BGM and sound signals of various operation sounds are generated and output to the sound output unit 390.

  The sound output unit 390 is realized by a device that outputs sound effects, BGM, and the like based on the sound signal input from the sound generation unit 290. The speaker 1510 in FIG. 2 corresponds to this.

The image generation unit 292 is realized by, for example, a processor such as a GPU or a digital signal processor (DSP), a program such as a video signal IC or a video codec, an IC memory for a drawing frame such as a frame buffer, or the like.
Then, the image generation unit 292 generates an image of one game screen in one frame time (for example, 1/60 seconds) based on the processing result by the game management unit 210, and displays an image signal of the generated game screen as an image display To the unit 392.

  The image display unit 392 displays various game images based on the image signal input from the image generation unit 292. For example, it can be realized by an image display device such as a flat panel display, a cathode ray tube (CRT), a projector, or a head mounted display. In the present embodiment, this corresponds to the touch panel 1506 of FIG.

  The communication control unit 294 executes data processing related to data communication, and realizes data exchange with an external device (such as the server system 1100) via the communication unit 394. The communication unit 394 is connected to the communication line 9 to realize communication. For example, it is realized by a wireless communication device, a modem, a TA (terminal adapter), a cable communication cable jack, a control circuit, and the like, and the wireless communication module 1553 of FIG. 2 corresponds to this.

  The storage unit 500 stores a system program for realizing various functions for causing the processing unit 200 to control the player terminal 1500 in an integrated manner, a program necessary for game play, various data, and the like. Further, it is used as a work area of the processing unit 200, and temporarily stores calculation results executed by the processing unit 200 according to various programs, input data input from the operation input unit 100, and the like. Such a function is realized by, for example, an IC memory such as a RAM or a ROM, a magnetic disk such as a hard disk, or an optical disk such as a CD-ROM or DVD. The IC memory 1552 and the memory card 1540 mounted on the control board 1550 in FIG.

  The storage unit 500 stores a terminal system program 509, a game management program 505, game initial setting data 510, and play data 700. Further, as data generated and managed in accordance with the progress of the game, information such as play data 700, timers, counters, and various flags is stored.

The terminal system program 509 is a program for realizing basic functions of input / output of the player terminal 1500 as a computer.
The game management program 505 and the game initial setting data 510 are downloaded from the server system 1100 and stored. Alternatively, a memory card 1540 (FIG. 2) obtained separately is prepared.

  The flow of processing from the start to the end of the game in the player terminal 1500 in the present embodiment is the same as that in the first embodiment. That is, “server system 1100” may be replaced with “player terminal 1500” in the description relating to the flow of processing in the first embodiment.

  However, information necessary for creating the play data 700, for example, information related to a group of opponents, is acquired from the server system 1100 before the game is started (before step S2 in FIG. 19). Further, in step S204 (see FIG. 21) after the end of the battle play, a step of transmitting information such as battle results and battle statistics regarding the group of opponents from the player terminal 1500 to the server system 1100 is added. Then, the server system 1100 updates the battle record history 694 of the matching candidate registration data 690 based on the received information. Further, it is assumed that the play history data 602, the character save data 610, etc. are changed in the user management data 600 of the opponent.

Also in this embodiment, the same effect as the first embodiment can be obtained.
In the present embodiment, if all the opponents are players, game play is realized in a client-server type system using any one of the player terminals 1500 of the opponent as a game server. Alternatively, the player terminal 1500 of the opponent may be connected peer-to-peer, and the function of the game management unit 210 may be further shared by those player terminals 1500 to realize game play.

[Modification]
As mentioned above, although the example of embodiment which applied this invention was demonstrated, the form which can apply this invention is not limited to the said form, A component can be added, abbreviate | omitted, and changed suitably.

[Part 1]
For example, the player terminal 1500 may be an arcade game device installed in a game center or the like.

[Part 2]
Further, in the above-described embodiment, the match play algorithm is applied to one group and the match play is performed, but a configuration in which a plurality of match action algorithms are applied to one group is also possible.
Specifically, based on the first embodiment, a predetermined number (two or more) of behavior algorithms are selected from the behavior algorithms satisfying the selection condition 542 in the behavior algorithm selection table 540 (see FIG. 6). Thus, the adaptive behavior algorithm is obtained. As a selection method, the player 2 may select manually, or it may be selected automatically by executing a random lottery process.

  Then, as shown in FIG. 26, the game management unit 210 includes a switching condition setting unit 274 that sets a switching condition for switching the selected predetermined number of conforming behavior algorithms during the battle play in accordance with the operation input of the player. Configure.

  As shown in FIG. 27, when the grouping screen W4 is scrolled, the switching condition setting unit 274 1) gives an order for assigning the application order (priority order) of the behavior algorithm displayed on the conforming behavior algorithm display unit 20. An operation column 24 and 2) a switching condition selection column 26 are displayed.

  The switching condition options displayed in the switching condition selection field 26 can be set as appropriate according to the game content. For example, the number of turns, the wear rate of the own army group, the wear rate of the enemy army group, the elapsed time from the start of the battle play, etc. can be set as the threshold condition of the switching condition. In the case of a game based on the theme of base defense, it is preferable that the threshold condition can be set such as the distance between the base and the enemy group characters, the distance between the enemy base and the characters of the host group, and the like.

  The switching condition setting unit 274 associates the set application order with the matching action algorithm name 714 in the group management data 710 of the play data 700 when the application order is set in the order assignment operation field 24. Store. Further, when the player 2 selects any one in the switching condition selection field 26, the switching condition identifier is stored in the group management data 710 of the play data 700 according to the selection result.

  As shown in FIG. 28, in the battle play process, until the battle play ends (NO in step S206), the switching condition of each group management data 710 for each group used for the battle play. It is determined whether or not the switching condition indicated by the identifier is satisfied, and processing for switching the matching behavior algorithm of the group that satisfies is performed (step S208).

  By providing a plurality of adaptive behavior algorithms to be applied at the time of automatic control and preparing a switching condition for switching between scenes to be applied, it is possible to bring a variety of application algorithms and further enhance the interest of the game.

[Part 3]
In the above embodiment, the adaptive behavior algorithm or the semi-compliant behavior algorithm is selected from those prepared in advance. However, the present invention is not limited to this. For example, the behavior algorithm itself can be obtained and registered by the player 2 as in the case of the game card 3 so that the behavior algorithm can be used as an option of the conforming behavior algorithm or the semi-conforming behavior algorithm.

  Specifically, a game card 3 to which an action selection algorithm is assigned or an item that can be obtained in a game or online shopping in which a release key for the action selection algorithm is set is prepared. In the case of the game card 3, it is validated through a registration procedure in the same manner as the character. In the case of an item, it shall be automatically activated upon acquisition or shall be activated when used. And in step S24 and step S26 (refer FIG. 20) of group organization process, the behavior algorithm name 544 is extracted based on the behavior algorithm selection table 540 similarly to the said embodiment, and the extracted behavior algorithm is validated. If so, it is designated as a conforming behavior algorithm or a semi-conforming behavior algorithm.

  In the configuration, as shown in the group organization screen W4 in FIG. 29, the game card-like icon 17 of the character activated by the player 2 is displayed on the character list display 14, and the icon is dragged and dropped. The group organization is performed by arranging by operation. The conforming behavior algorithm display unit 20 and the semiconforming behavior algorithm display unit 22 display the game card-like icon 27 of the conforming behavior algorithm selected in steps S24 and S26 (see FIG. 20) and the semiconforming behavior algorithm. In step S42 (see FIG. 20), the player 2 drags and drops the icon onto the behavior algorithm selection field 30 to set the behavior algorithm applied to the automatic control of the group 6 being organized. Is preferable.

  In addition, in the above embodiment, the adaptive behavior algorithm is applied to the entire group. However, the adaptive behavior algorithm may be set for each sub-group included in the population. The sub group is a group of relative positional relationships in the front row / middle row / rear row group, a platoon unit, or the like, and can be set as appropriate according to the game contents, particularly rules regarding the state of the group.

  Specifically, as shown in FIG. 30, a suitable behavior algorithm setting field 30 is prepared for each sub-group. And in step S42 (refer FIG. 20), it is set as the structure which the player 2 selects manually instead of automatic selection by a computer. In other words, the player 2 is configured to perform a drag-and-drop operation on the desired action algorithm icon from the adapted action algorithm display field 20 in the sub-group-specific setting field.

[Part 4]
Further, in the above-described embodiment and its modification, the probability setting table 560 of the behavior algorithm definition data 560 (see FIG. 14) is prepared for each subgroup even for the same basic behavior, that is, “movement”. The subdivision is divided into “for front row”, “for middle row”, and “for back row”. This is more effective for diversification of automatic control.

[Part 5]
In the above embodiment, the group is described as if it is composed of a plurality of characters. However, the group may be composed of only a single character.
Further, although described as a battle between players, the opponent may be a group prepared in advance by the game provider, or only one enemy character.

[Part 6]
Although the behavior algorithm has been described as fixed, a growth factor may be added. For example, a growth parameter and a level are set in the behavior algorithm, and the value of the growth parameter is increased as the behavior algorithm is applied to win. And whenever it reaches the threshold value which becomes a level-up, it is good also as raising the level of the said action algorithm and updating the control content by the said action algorithm.

2 ... Player 4 ... Character 6 ... Group 20 ... Adaptive action algorithm display part 22 ... Semi-adapted action algorithm display part 23 ... Rank display part 35 ... Explanation sentence display part 53 ... Adaptive action algorithm display part 55 ... Rank display part 60 ... Self Group display unit 61 ... Own status display unit 63 ... Conformity action algorithm display unit 65 ... Rank display unit 69 ... Battle situation statistical value display unit 200s ... Server processing unit 210 ... Game management unit 212 ... Group organization unit 214 ... Conformance action algorithm selection unit 216: Semi-adapted action algorithm selection unit 220 ... Action algorithm notification control unit 222 ... Rank display control unit 230 ... Parameter setting unit 231 ... Collective property determination unit 233 ... Algorithm rank setting unit 235 ... Action success probability setting unit 250 ... Automatic control unit 251 ... Action pattern selection unit 270 ... Battle situation Total unit 272 ... Battle situation statistical value display control unit 500 s ... Server storage unit 502 ... Server program 505 ... Game management program 540 ... Action algorithm selection table 542 ... Selection condition 544 ... Action algorithm name 550 ... Action algorithm definition data 551 ... Action algorithm name 553 ... Application condition 560 ... Probability setting table 561 ... Application basic action type 562 ... Basic action activation probability 563 ... Movement target position selection method 564 ... Attack target selection method 565 ... Appearance rate 572 ... Display target battle situation statistics type 600 ... User management data 630 ... Group organization data 631 ... Group name 633 ... Algorithm rank 635 ... Matching behavior algorithm name 637 ... Semi-matching behavior algorithm name 700 ... Play data 710 ... Group management data 712 ... Group name 713 ... Algorithm Mrank 714 ... conforming action algorithm name 715 ... semi-conforming action algorithm name 720 ... character status data 723 ... attribute 724 ... arrangement position coordinates 725 ... attack target position coordinates 726 ... movement target position coordinates 740 ... battle situation statistical data 1150 ... control board 1500 ... Player terminal 1550 ... Control board W4 ... Group organization screen W6 ... Competition screen W8 ... Competition result announcement screen

Claims (14)

A program for causing a computer to execute a battle game in which a group formed by a plurality of objects according to a user's knitting operation is played against an enemy object.
A behavior algorithm setting means for setting a behavior algorithm executed by the group according to the organization of the group from among a plurality of behavior algorithms;
Parameter setting means for setting a parameter related to the behavior algorithm set by the behavior algorithm setting means based on the organization of the group;
Automatic control means for automatically controlling the behavior of the group according to the behavior algorithm set by the behavior algorithm setting means, using the parameters set by the parameter setting means;
A program for causing the computer to function as The behavior algorithm includes a plurality of behavior patterns in one behavior algorithm,
Further causing the computer to function as an action pattern selection means for selecting an action pattern with a selection probability according to the organization of the group;
The automatic control means automatically controls the group along the behavior pattern selected by the behavior pattern selection means.
The program according to claim 1. Mutual compatibility according to the attribute of the object is defined for the object,
The behavior pattern selection means selects a behavior pattern of each object constituting the group using a selection probability according to the compatibility between the object and the enemy object.
The program according to claim 2. Further causing the computer to function as property determining means for determining the property of the group based on the organization of the group;
The behavior algorithm selection means selects a behavior algorithm according to the property of the group.
The program as described in any one of Claims 1-3. The action controlled by the automatic control means includes attack and / or defense,
The parameter setting means has a probability setting means for setting the execution success probability of the action controlled by the automatic control means based on the organization of the group.
The program as described in any one of Claims 1-4. Further causing the computer to function as property determining means for determining the property of the group based on the organization of the group;
The probability setting means sets the execution success probability based on the property of the group.
The program according to claim 5. The property determination means determines the similarity of the objects constituting the group in the property,
The probability setting means sets the execution success probability higher as it is determined that the similarity determined by the property determination means is higher.
The program according to claim 6. When the automatic control means controls the execution of the attack action, the execution success probability set by the probability setting means is used to control whether or not the attack damages the enemy object.
The program according to claim 7. The property determination means determines the property of the group, including an arrangement position of objects constituting the group in a property determination criterion.
The program according to any one of claims 4 and 6-8. The property determining means determines the property of the group by including at least one of the type, attribute, and level of each object constituting the group in the property determination criteria.
The program according to any one of claims 4 and 6-9. The property determining means determines the property of the group including an ability index value indicating the ability of the action.
The program in any one of Claim 4 and 6-10. Behavior algorithm notification control means for performing control to notify the user of the behavior algorithm selected by the behavior algorithm selection means;
The program as described in any one of Claims 1-11 for making the said computer further function as. Battle situation statistics notification control means for performing control to notify the user of the battle situation statistics associated with the action algorithm selected by the behavior algorithm selection means;
The program as described in any one of Claims 1-12 for making the said computer function further as. A server system that communicates with a user terminal and controls execution of a battle game in which a group formed by a plurality of objects according to a user's knitting operation battles an enemy object,
Among a plurality of behavior algorithms, behavior algorithm setting means for setting the behavior algorithm executed by the group according to the organization of the group,
Parameter setting means for setting parameters related to the behavior algorithm set by the behavior algorithm setting means based on the organization of the group;
Automatic control means for automatically controlling the behavior of the group in accordance with the behavior algorithm set by the behavior algorithm setting means, using the parameters set by the parameter setting means;
Server system with

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