JP6965314B2 - Programs, information processing devices and control methods - Google Patents

Description

The present invention relates to programs, information processing devices and control methods.

A game system in which a ally character and an enemy character play against each other is known (Patent Document 1). In the game system described in Patent Document 1, a user organizes a deck including a plurality of characters by selecting a plurality of ally characters, and uses the organized deck to play against an enemy character or another user's deck. do.

Japanese Unexamined Patent Publication No. 2014-195611

By the way, in a game in which characters are played against each other, it is important to appropriately adjust the strength of the characters appearing in the game in consideration of the game balance. Generally, the strength of a character is determined by adjusting parameters such as attack power set for the character. However, in the case of a game in which a large number of characters appear, such as a role-playing game, it is difficult for the game designer to manually adjust the parameters set for each character. Further, in the case of a game in which new characters are implemented one after another, such as an online game, it is necessary to adjust the parameters set for the new characters in consideration of the strength of many existing characters.

The present invention has been made based on the above circumstances, and provides a program, an information processing device, and a control method capable of easily obtaining optimum values of parameters set in a game medium appearing in a game. The purpose.

In the program according to one aspect of the present invention, which has been made to solve the above problems, a setting step for setting parameters in a game medium to appear in the game and a setting process for setting the parameters are set in the information processing device. Using the game medium and user data including information on the game medium set by the user playing the game, a simulation execution step of executing a simulation process related to a predetermined battle game part is executed, and the simulation is performed. As an optimization problem that minimizes the difference between the evaluation information acquired based on the execution of the process and the target evaluation information, the optimum solution of the parameter is obtained by repeatedly executing the simulation process while changing the parameter by the setting process. Ask for.

The information processing device according to one aspect of the present invention, which has been made to solve the above problems, includes a setting processing unit that performs setting processing for setting parameters in a game medium appearing in a game, and the game in which the parameters are set. It is provided with a simulation execution unit that executes a simulation process related to a predetermined battle game part using the medium and user data including information on the game medium set by the user playing the game, and executes the simulation process. As an optimization problem that minimizes the difference between the evaluation information acquired based on the above and the target evaluation information, the optimum solution of the parameter is obtained by repeatedly executing the simulation process while changing the parameter by the setting process.

The control method according to one aspect of the present invention, which has been made to solve the above problems, is a control method executed by an information processing apparatus, and is a setting process for setting parameters in a game medium appearing in a game. Simulation to execute simulation processing related to a predetermined battle game part using the step, the game medium in which the parameters are set, and user data including information on the game medium set by the user playing the game. As an optimization problem that includes an execution step and minimizes the difference between the evaluation information acquired based on the execution of the simulation process and the target evaluation information, the simulation process is repeatedly executed while changing the parameters by the setting process. By doing so, the optimum solution of the above parameters is obtained.

The program, information processing device, or control method according to one aspect of the present invention can easily obtain the optimum values of the parameters set in the game medium appearing in the game.

It is a figure which shows schematic the whole structure of the system including the information processing apparatus (server apparatus) which concerns on one Embodiment of this invention. It is a figure which shows the functional configuration of the server apparatus of the system of FIG. It is a figure which shows an example of the data of the character owned by a user stored in the game database of the system of FIG. It is a figure which shows the continuation of the data of FIG. It is a figure which shows an example of the data of the equipment owned by a user stored in the game database of the system of FIG. It is a figure which shows an example of the deck setting data of each user stored in the game database of the system of FIG. It is a flowchart which shows an example of a battle game part. It is a flowchart which shows an example of the optimization process in the server apparatus of FIG. It is a figure which shows an example of the data which stored the value of the parameter which is adjusted every time the simulation process is executed. It is a figure which shows the system which used the information processing apparatus which has the same function as a server apparatus.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[System overview]
As shown in FIG. 1, the system 1 includes a server device 10, a game database 30 communicably connected to the server device 10, and a development terminal 50 communicably connected to the server device 10. Has been done. The system 1 is a system for designing a game medium newly appearing in a game executed by a game system (not shown), and can obtain an optimum value of a parameter set in the new game medium.

Here, the game medium indicates a game object whose parameters can be set, for example, a ally character, an enemy character, a deck including a plurality of characters, equipment for characters such as weapons and armor, items for recovery, and the like. Includes any game medium that appears in the game, such as objects such as buildings and obstacles, virtual areas such as danger zones defined in the game space, and the like. Further, the parameter indicates a status for defining the magnitude of the performance of the game medium. For example, when the game medium is a character, the game medium includes attack power, defense power, skill power, skill activation rate, and the like. In the case of a deck, it includes the combination of characters included in the deck, if the game medium is equipment, it includes attack power, defense power, durability value, etc., and if the game medium is an item, it includes recovery power, etc. If the game medium is an object such as a building or an obstacle, the durability value or the like is included, and if the game medium is a virtual area such as a danger zone, damage or the like given with the passage of time is included. That is, the parameter includes a status referred to in the battle game, a status determined when determining the difficulty level related to the progress of the game, and the like.

The game executed in the target game system is, for example, a game including a predetermined battle game part in which characters equipped with equipment are made to play against each other, and the game medium (character, deck, and equipment of the character) appearing in this game. Parameters indicating each performance are set in the product). The battle game part may be a deck containing a plurality of characters and an enemy character appearing in the game, or a plurality of decks may be played against each other.

First, the system 1 sets initial parameters for a new game medium to appear in the game. The initial parameters for the new game medium are set based on the master data created by the development terminal 50, which will be described later.

Next, the system 1 executes a simulation process related to the battle game part using the new game medium in which the initial parameters are set and the existing game medium. Information on the existing game medium is acquired from user data stored in the game database 30 described later. Here, the simulation process related to the battle game part indicates a process of executing the battle game part one or more times in a simulated manner, and for example, when a user operation is required in the battle game part. The competitive game part is executed by using the alternative operation information generated by a predetermined algorithm.

Next, the system 1 acquires evaluation information based on the execution of the simulation process. Here, the evaluation information indicates information related to the evaluation of a new game medium in which parameters are set. For example, a match win rate obtained by playing a new game medium against a specific existing game medium a plurality of times, a new game medium. Is a new deck, and the result of the battle obtained by playing the deck against each of a plurality of decks composed of the existing game media is obtained by playing the new game medium against each of the plurality of existing game media. Includes distribution of damage received from each existing game medium.

Then, the system 1 finds the optimum solution of the parameter by solving the optimization problem with the evaluation information as the objective function and the parameter set in the new game medium as the variable. That is, the system 1 optimizes the parameters by alternately and repeatedly executing the setting process and the simulation process while adjusting the parameters as an optimization problem that minimizes the difference between the evaluation information and the preset target evaluation information. Find a solution.

[System configuration]
The server device 10 is an information processing device for deriving the optimum solution of the parameters set in the game medium, and is connected to the game database 30 and the development terminal 50 via the network N. As shown in FIG. 1, the server device 10 includes a control unit 11 that executes various operations, a storage unit 12 that stores various programs and data, and a communication unit 13 that transmits and receives data to and from other devices. ing.

The game database 30 is a storage device that stores data related to a game executed by a game system (not shown), and is information on an existing game medium owned by a user who is playing the game and a game set by the user. Stores user data including information on the medium. Here, the information of the game medium set by the user indicates the information of the game medium in which the user has set the role in the game among the game media owned by the user, for example, the equipment set in the character. Information, information on multiple characters set in the deck, etc. are included. Necessary data including user data is copied from the database of the game system to the game database 30. Further, the server device 10 acquires the user data stored in the game database 30 when executing the optimization process.

The development terminal 50 is an information processing device for a game designer who is a developer to design a game medium. When the optimization process is executed in the server device 10, the development terminal 50 transfers the master data including the information of the new game medium designed by the game designer and the target evaluation information used in the optimization process to the server device 10. Send. As described above, the master data includes data for setting initial parameters in a new game medium.
[Functional configuration of server device]
As shown in FIG. 2, the server device 10 includes a user data storage unit 110 that stores user data acquired from the game database 30, a master data storage unit 120 that stores master data acquired from the development terminal 50, and a new one. A setting processing unit 130 that performs setting processing for setting parameters in the game medium of the above, a simulation execution unit 140 that executes simulation processing related to a battle game part using a new game medium and an existing game medium, and a new game. It is provided with a parameter adjusting unit 150 for adjusting parameters set on the medium. Each of these functions is realized by the control unit 11 that operates based on the program stored in the storage unit 12. The server device 10 is configured to perform an optimization process in which the setting process and the simulation process are alternately and repeatedly executed while adjusting the parameters to be set in the new game medium.

The user data storage unit 110 stores the user data acquired from the game database 30 in the storage unit 12. The user data includes information on an existing game medium owned by a user who is playing a game for which a new game medium is to be implemented, and information on an existing game medium set by the user.

The master data storage unit 120 stores the master data acquired from the development terminal 50 in the storage unit 12. The master data includes information on the new game medium, data for setting initial parameters on the new game medium, and target evaluation information used in the optimization process.

The setting processing unit 130 performs setting processing for setting parameters in a new game medium. The setting processing unit 130 executes the setting processing a plurality of times during the execution of the optimization processing. Specifically, the setting processing unit 130 sets the initial parameters in the new game medium based on the master data at the time of the first setting processing, and the parameters set in the new game medium at the time of the second and subsequent setting processing. Is set to be replaced with the adjusted parameter.

The simulation execution unit 140 executes the simulation process related to the battle game part by using the new game medium whose parameters are set by the setting process and the existing game medium specified by the user data. In the simulation process, as described above, the competitive game part is simulated and automatically executed one or more times. Further, the simulation execution unit 140 executes the simulation process a plurality of times during the execution of the optimization process. Specifically, the simulation execution unit 140 executes the simulation process every time a parameter is set in the new game medium by the setting processing unit 130.

The parameter adjustment unit 150 adjusts the parameters to be set in the new game medium. Specifically, the parameter adjustment unit 150 acquires evaluation information as an objective function from the execution result of the simulation process each time the simulation process is executed by the simulation execution unit 140, and this evaluation information and the target evaluation set in advance by the game designer. As a variable of the optimization problem that minimizes the difference from the information, the parameter (adjusted parameter) to be reset in the new game medium is determined. A known algorithm can be used as the algorithm used for parameter adjustment, but when the simulation process itself is a black box function, the algorithm based on the gradient method cannot be used. Therefore, for example, it can be selected according to the parameters optimized by the algorithm such as random search, grid search, optimization by genetic algorithm, and Bayesian optimization. Further, in adjusting the parameters, it is possible to impose constraints such as limiting the search range of the parameters. There may be a plurality of optimal solutions for parameters that satisfy the target evaluation information predetermined by the game designer, but any of these parameters may be derived. However, when there are a plurality of optimum solutions, it is preferable to select the optimum solution in which all the parameters are as close to the center of the parameter search range (constraint condition) as possible. Further, when the optimum solution of the parameter satisfying the target evaluation information cannot be obtained, the optimization process may be terminated by notifying that fact.

In the optimization process, various measures can be added in order to reduce the number of executions of the simulation process and obtain the optimum solution of the parameter in a short time. For example, the search space can be gradually narrowed based on the previous search result by using an experimental design method or the like. Further, for example, the search space may be narrowed by making the new game medium stronger than the specific existing game medium and weaker than the other specific existing game medium. Further, for example, the search space may be narrowed without worrying about the local solution by setting only linear parameters as parameters to be set in the new game medium. The parameters may be normalized (converted from 0 to 1) before the search is performed.
[Game database]
Here, as an example of the information of the existing game medium owned by the user included in the user data stored in the game database 30, the data of the character owned by the user and the data of the equipment are shown. As shown in FIG. 3, the character has HP (hit point), MP (magic point), attack power, and defense power in addition to the character ID for identifying the character and the character name indicating the character name. , Magical attack power that indicates magical attack power, agility to determine the order of actions in battle, and dexterity that affects the incidence of critical attacks are associated as parameters. These parameters are subject to adjustment when adding a new character. In addition, the character can be equipped with equipment, and the character is further associated with the equipment ID of the equipment to be attached to the character.

In addition, as shown in FIG. 4, the character has three skills (skill 1, skill 2 and skill 3) that the character can activate during the battle, and a special skill that can be activated when certain conditions are met during the battle. , And an assist skill that can be activated at the start of the battle when the character is set as an assist character of another character are further associated as parameters. These parameters are also subject to adjustment when adding a new character. For example, if the skill is determined by at least one of the power (attack power and resilience), activation rate and duration (duration of abnormal conditions such as poison and sleep) of the skill, the character When the skill to be set is to be adjusted, the optimum solution of at least one of power, activation rate and duration is required. In addition, parameters other than these may be associated with the character.

As shown in FIG. 5, in addition to the equipment ID for identifying the equipment and the equipment name indicating the name of the equipment, attack power, defense power, magic attack power, and equipment can be activated. Effective properties are associated as parameters. These parameters are subject to adjustment when adding new equipment. The equipment is configured such that when attached to a character, the set parameters are added or added to the corresponding parameters of the character. In addition, parameters other than these may be associated with the equipment.

Further, as an example of the information of the game medium set by the user included in the user data stored in the game database 30, the deck setting data of each user is shown. As shown in FIG. 6, the user has six characters (1 to 6) set as party characters in addition to a user ID for identifying the user and a deck ID for identifying the deck set by the user. ), Six characters (1 to 6) set as assist characters are associated. That is, the deck is associated with a combination of these characters as a parameter. Therefore, these parameters are subject to adjustment when adding a new deck. The assist characters can be associated with each party character one by one, and the set parameters are added or added to the corresponding parameters of the party character, and the assist skill can be activated. It is configured in. In addition, the user is further associated with a strategy that specifies the action policy of the character when the battle is automatically advanced, and a special move pattern that specifies the usage policy of the special move when the battle is automatically advanced. ..

[Competitive game part]
The competitive game part of the game executed by the target game system will be described. FIG. 7 is a flowchart showing an example of a competitive game part. In this battle game part, two decks are played against each other, and party characters (six characters) set in each deck are played against each other. The battle game part is substantially the same as the battle game part executed one or more times in the simulation process in the simulation execution unit 140.

When the battle is started, one of the six assist characters set in the deck is selected, and the assist skill of the selected assist character is activated (S100). Assist skills are activated for each deck. After that, the battle progresses on a turn-based basis, and all characters act according to the order of actions determined by the set agility. When the action of the character whose action order has arrived is an attack (S102Yes), the character attacks the opponent's character with the set attack power (S104). The HP of the attacked character is reduced by the amount of damage calculated based on the attack power of the attacking character and the defense power of the attacked character. When the action of the character whose action order has arrived is skill use (S106Yes), the character activates the set skill (S108). For example, when the skill to be activated is attack magic, the character attacks the opponent's character according to the set magic attack power and the set skill power. When the conditions for activating the special move are satisfied during the battle and the use of the special move is specified as the action of the character (S110Yes), the character activates the set special move (S112). Then, when the HP of any of the characters participating in the battle becomes 0 (S114Yes), the character is excluded from the battle. In addition, when all the characters set in any deck are excluded from the battle, that is, when the characters in any deck are completely destroyed (S116Yes), the end processing such as totaling the battle score is executed (S118). , End the battle game part.

[Operation of server device]
Next, the operation flow of the server device 10 will be described. FIG. 8 is a flowchart showing an example of the optimization process in the server device 10.

The server device 10 acquires user data from the game database 30 and stores it in the storage unit 12 (S200). This user data includes information on an existing game medium owned by a user who is playing a game for which a new game medium is to be implemented, and information on an existing game medium set by the user.

Next, the server device 10 acquires master data from the development terminal 50 and stores it in the storage unit 12 (S202). This master data includes information on a new game medium, information for setting initial parameters on the game medium, and target evaluation information.

When the master data is acquired, the server device 10 sets initial parameters in a new game medium based on the master data (S204). For example, when the new game medium is a character and the parameter set for the character is a skill, the server device 10 sets the character with a skill having predetermined power, activation rate, and duration predetermined by the game designer. do.

Next, the server device 10 executes a simulation process related to the battle game part using a new game medium for which initial parameters are set and an existing game medium specified by user data (S206). For example, the server device 10 executes a simulation process in which a deck including the above-mentioned new character and an existing character and a specific deck including only the existing character are played against each other a plurality of times.

When the execution of the simulation process is completed, the server device 10 acquires evaluation information as an objective function from the execution result of the simulation process, calculates the difference between this evaluation information and the target evaluation information included in the master data, and uses this difference as the difference. Based on this, it is determined whether or not the optimization is completed (S208). When it is determined that the parameter optimization is completed (S208YES), the server device 10 ends the optimization process. This judgment is affirmed when the above difference becomes the minimum and the optimum solution of the parameter is obtained, but when a predetermined time elapses from the start of the optimization process or after the optimization process is started. It may be affirmed when the simulation process is executed more than a predetermined number of times. For example, the server device 10 acquires the battle win rate on the deck side including the new character as evaluation information from the execution result of the simulation process in which the decks are played against each other a plurality of times, and the battle win rate and the target set by the game designer. The difference from the match win rate (target evaluation information) is calculated, and it is determined whether or not this difference is the minimum.

When it is determined that the parameter optimization has not been completed (S208NO), the server device 10 adjusts the parameters set in the new game medium so that the difference between the evaluation information and the target evaluation information becomes small. (S210). For example, the server device 10 tends to improve the performance of the new game medium so that when the winning percentage on the deck side including the new character is lower than the target winning percentage, the winning percentage on the deck side including the new character increases. Adjust the power, activation rate, and duration of the skill so that if the winning percentage of the deck including the new character is higher than the target winning percentage, the winning percentage of the deck including the new character will decrease. Adjust the power, activation rate, and duration of the skill in a direction that reduces the performance of the medium.

When the parameters set in the new game medium are adjusted, the process returns to S204, and the server device 10 sets the parameters so as to replace the parameters set in the new game medium with the adjusted parameters. After that, the server device 10 repeats these processes until the parameter optimization is completed.

[Other Embodiments]
The present invention is not limited to the above embodiments.

For example, adjusted parameter values obtained at any stage in the optimization process (FIG. 8) can be used.

Specifically, even when the server device 10 determines that the parameter optimization has not been completed (S208NO), it is set before the value of the parameter, that is, the simulation process is executed (S206). The value of the parameter (S204) may be stored. In this case, the value of the parameter may be stored each time the optimization process (S204 to S206) is repeated until the server device 10 determines that the parameter optimization is completed (S208YES), or a predetermined condition. Only the values of the parameters satisfying may be stored. The values of these parameters can be stored, for example, in the storage unit 12 of the development terminal 50 or the server device 10.

FIG. 9 is a diagram showing an example of data in which the values of the parameters adjusted each time the simulation process is executed (S206) are stored. FIG. 9 shows an example in which four parameters whose “parameter names” are “parameter 1” to “parameter 4” are the targets of optimization and the optimization processing (S204 to S206) is repeated 10 times. Shown. The “difference in evaluation information” in FIG. 9 is the difference between the evaluation information obtained from the execution result of the above simulation process and the target evaluation information included in the master data. In this example, not only when the server device 10 determines that the parameter optimization is completed by the 10th optimization process (S204 to S206) (S208YES), but also 10 times of the optimization process (S204 to S206). Even if the above is repeated, the case where the server device 10 determines that the parameter optimization is not completed until the end (S208NO) is also included.

As shown in FIG. 9, the initial values of the parameters 1 to 4 are adjusted by the first optimization process (S204 to S206), and are updated from the "initial value" to the "first time" value. After that, similarly, by the N (N = 2 to 10) th optimization process (S204 to S206), the values of the parameters 1 to 4 are changed from the "N-1st" value to the "Nth" value. Will be updated.

The game designer can select any parameter value from the stored parameter values (FIG. 9). For example, the value of the "eighth time" can be selected as the value of the parameter to be set in the game medium, and the value of this parameter can be actually set in the game medium.

Further, for example, by using the adjusted value of an arbitrary parameter as an initial value and further repeating the optimization process (S204 to S206) in the vicinity of this initial value, the parameter can be set in the vicinity of this initial value. You can also perform value optimization.

Furthermore, for example, it is possible to perform machine learning by inputting the value of the selected parameter as sample data and extract information that the game designer himself did not recognize, such as the law and balance indicated by the value of the selected parameter. .. The extracted information can also be used when constructing an algorithm or the like for setting parameter values.

Evolutionary optimization techniques such as genetic algorithms can also be applied to the values of the selected parameters. In this case, for example, a set of a set of parameter values that approximates the selected parameter value is set as the first generation (seed or initial value), and the next generation (solution) is performed by operations such as crossover / mutation. The optimum solution can be searched by repeating the process of finding.

In this way, by using the value of the parameter selected from the values of the parameters adjusted by the optimization processing (S204 to S206), the value of the parameter finally set in the game medium is obtained. It is possible to set parameter values in the game medium that cannot be extracted only by repeating the optimization processing (S204 to S206). For example, the setting of the parameter value can reflect the evaluation of the game designer from a viewpoint different from the target evaluation information (objective function). Therefore, it is possible to strictly set the parameter values based on various evaluation viewpoints. It can also provide game designers with new insights into the parameters that should be set in the game medium. Further, the parameter values do not converge only in the optimization processing (S204 to S206), and the difference between the evaluation information obtained from the execution result of the above simulation processing and the target evaluation information included in the master data is sufficiently small. It may not be. In such a case, the difference can be made closer to zero by appropriately using the value of the parameter selected from the values of the parameters adjusted by the optimization processing (S204 to S206). This makes it possible to set the parameter values more strictly.

Further, the parameters to be adjusted and the target evaluation information are not limited to those exemplified in the above embodiment.

For example, when a character is selected as a new game medium and a deck including the character and an existing character is configured, the combination of the characters included in the deck is set as a parameter to be adjusted, and the deck including the character is an existing deck. The parameters may be adjusted with the target evaluation information being the strongest deck as compared with the deck containing only characters. The simulation process in this case may be such that these decks are made to play against each other, or these decks may be made to play against a predetermined enemy character (boss character). Further, as the algorithm used for adjusting the parameters, for example, an evolutionary optimization method such as the above-mentioned genetic algorithm can be used. In addition, in order to search efficiently, it is advisable to use the existing strongest party (user data) as the seed (initial value) of the genetic algorithm.

For example, when an enemy character (boss character) to appear in a game event is selected as a new game medium, the power, activation rate, and duration of the skill set for the enemy character are set as parameters to be adjusted, and the enemy character is used. The parameter may be adjusted by using the distribution of damage received from each deck obtained by playing against each of a plurality of decks including only existing characters as the target evaluation information. It is advisable to impose constraints that limit the range of maximum damage. In the simulation process in this case, it is preferable that the enemy character and the deck set by the upper user group are made to play against each other in order to optimize the game balance of the game event. Moreover, since the relationship between the parameter and the variance of the damage is not linear, for example, a parameter search method by Bayesian optimization that can efficiently find a global optimum solution is used as an algorithm used for parameter adjustment. preferable.

Further, the object to be optimized is not limited to the numerical values such as the above-mentioned various parameters (for example, parameters related to the character). For example, it is possible to set a character's dialogue (another example of a parameter) based on the game scene. In this case, existing character scripts, user comments, and the like can be used as teacher information, and can be optimized using the present invention via a known natural language processing method. In this case, the target evaluation information may be set so that there is no scenario that cannot be traced on the game scenario. For example, if the game specifications are such that the route to be followed in the branch on the game scenario differs depending on the dialogue of the character, there are inconveniences (bugs) such as inconsistency in the story and failure to reach the desired ending. Can occur. The target evaluation information may be set so as to substantially eliminate the possibility of such inconvenience.

In the above embodiment, the system 1 including the server device 10, the game database 30, and the development terminal 50 has been described, but the configuration of the system 1 is not limited to this. For example, a single information processing device including all the configurations included in the system 1 may be adopted. Further, the configuration included in the system 1 can be appropriately assigned to the server device and the development terminal.

FIG. 10 is a diagram showing a system using an information processing device 20 having the same function as the server device 10.

In the example of FIG. 10, the information processing device 20 is a device for deriving the optimum solution of the parameters set in the game medium, and is directly connected to the development terminal 50 without going through the network N. Further, the information processing device 20 is connected to the game database 30 via the development terminal 50 and the network N. As shown in FIG. 10, the information processing device 20 includes a control unit 21 that executes various operations, a storage unit 22 that stores various programs and data, and a communication unit 23 that transmits and receives data to and from other devices. doing. The control unit 21, the storage unit 22, and the communication unit 23 have the same functions as the control unit 11, the storage unit 12, and the communication unit 13 of the server device 10, respectively.

Further, the information processing device 20 has the same functional configuration as the user data storage unit 110, the master data storage unit 120, the setting processing unit 130, the simulation execution unit 140, and the parameter adjustment unit 150 of the server device 10 (non-function). (Shown).

1 System 10 Server device 11 Control unit 12 Storage unit 13 Communication unit 20 Information processing unit 21 Control unit 22 Storage unit 23 Communication unit 30 Game database 50 Development terminal 110 User data storage unit 120 Master data storage unit 130 Setting processing unit 140 Simulation Execution unit 150 Parameter adjustment unit

Claims (6)

For information processing equipment
A setting step for setting a specific parameter that affects the strength of the first game medium in a new first game medium to appear in the game, and a setting process for setting a specific parameter that affects the strength of the first game medium.
It relates to a predetermined battle game part by using the first game medium in which the specific parameter is set and user data including information of an existing second game medium set by a user playing the game. Simulation execution steps to execute simulation processing and
To run,
In the simulation execution step, the simulation process related to the predetermined battle game part using the first game medium and the second game medium is executed.
In the simulation process, the parameters that affect the strength of the second game medium are fixed.
As an optimization problem that minimizes the difference between the evaluation information acquired based on the execution of the simulation process and the target evaluation information, the setting process and the simulation process are alternately and repeatedly executed while adjusting the specific parameters. A program that finds the optimum solution for the specific parameter. A setting processing unit that performs setting processing for setting specific parameters that affect the strength of the first game medium on a new first game medium to appear in the game.
It relates to a predetermined battle game part by using the first game medium in which the specific parameter is set and user data including information of an existing second game medium set by a user playing the game. Equipped with a simulation execution unit that executes simulation processing
The simulation execution unit executes the simulation process related to the predetermined battle game part using the first game medium and the second game medium.
In the simulation process, the parameters that affect the strength of the second game medium are fixed.
As an optimization problem that minimizes the difference between the evaluation information acquired based on the execution of the simulation process and the target evaluation information, the setting process and the simulation process are alternately and repeatedly executed while adjusting the specific parameters. An information processing device that finds the optimum solution for the specific parameter. A control method executed by an information processing device.
A setting step for setting a specific parameter that affects the strength of the first game medium in a new first game medium to appear in the game, and a setting process for setting a specific parameter that affects the strength of the first game medium.
It relates to a predetermined battle game part by using the first game medium in which the specific parameter is set and user data including information of an existing second game medium set by a user playing the game. Simulation execution steps to execute simulation processing and
With
In the simulation execution step, the simulation process related to the predetermined battle game part using the first game medium and the second game medium is executed.
In the simulation process, the parameters that affect the strength of the second game medium are fixed.
As an optimization problem that minimizes the difference between the evaluation information acquired based on the execution of the simulation process and the target evaluation information, the setting process and the simulation process are alternately and repeatedly executed while adjusting the specific parameters. A control method for obtaining the optimum solution of the specific parameter. The program according to claim 1.
A program in which the optimum solution obtained by alternately and repeatedly executing the setting process and the simulation process is used as the specific parameter of the first game medium in the game. The program according to claim 1.
Wherein in the simulation step, the program for executing the first deck that includes the first game content, the simulation process according to the battle game part with a second deck that includes the second game content. The program according to claim 1.
Obtained with the specific parameter which the optimal solution is adjusted in the way required step, the specific parameter other than the optimal solution is used in said game as the specific parameter of the first game content program.

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