JP2023011326A - Program for game, method and information processing device - Google Patents

Abstract

To provide a program, etc. for increasing a parameter of a nurturing object item by consuming a plurality of types of material items.SOLUTION: A program for increasing a parameter of a nurturing object item stored in association with a player identifier of a player by consuming a plurality of types of material items, causes a computer to execute: a step of determining a nurturing object item based on a player input; a step of determining an optimum combination based on a prescribed method, for optimizing a combination of the number of respective types of material items to be consumed for increasing the parameter of the nurturing object item; and a condition determination step of determining whether or not a condition for increasing the parameter of the nurturing object item is satisfied based on the determined optimum combination.SELECTED DRAWING: Figure 1

Description

Application for application of Article 30, Paragraph 2 of the Patent Law September 29, 2020 Website “https://granbluefantasy.jp/index.php”, “https://apps.apple.com/jp/app/” guranburufantaji/id852882903”, “https://play.google.com/store/apps/details?id=jp.mbga.a12016007.lite&hl=ja”, “https://dmm.granbluefantasy.jp/”, and “ https://granbluefantasy.jp/download/”

TECHNICAL FIELD The present invention relates to a game program and the like, and more particularly to a game program and the like in which a plurality of types of material items can be consumed to raise the parameters of a training target item.

Many games have been released in which the parameters of items, which are game media possessed by players, are increased and strengthened. In such a game, if the selected material content can be evolved and synthesized, after performing the evolution synthesis automatically, by executing the process of enhancing the item to be enhanced, more experience points can be obtained. A game system is known that enables acquisition (Patent Document 1).

Patent No. 6545078

However, when consuming multiple types of material items to increase the parameters of a training target item, the parameter increase condition can be met without wasting material items as much as possible by consuming any number of material items of any type. It may be troublesome for the player to successively examine whether or not it is possible, and means for solving this have not yet been realized. In particular, when the effect of increasing the parameter of the item to be trained is different for each material item, the more types of material items there are, the more combinations of material items can be taken to increase the parameter, and the player will be able to Deriving the optimum solution is not easy.

The present invention has been made to solve such problems, and mainly provides a program or the like for increasing the parameters of a training target item by consuming multiple types of material items as efficiently as possible. aim.

1. In order to achieve the above object, a program according to one aspect of the present invention consumes a plurality of types of material items to raise the parameters of a training item stored in association with a player identifier of a player. A program comprising steps of determining an item to be raised based on player input, and optimal combination of the number of each type of material item consumed to raise the parameters of the item to be raised based on a predetermined method. and a condition determination step of determining whether or not a condition for increasing the parameter of the item to be raised is satisfied based on the determined optimal combination. let it run.

2. In the program according to Item 1, the number of points obtained by consuming material items is predetermined for each type of material item, and the number of points to be consumed to raise the parameters of the item to be trained by a predetermined amount. may be predetermined.

3. 3. The program according to item 1 or 2, wherein in the condition determination step, the number of each type of material item stored in association with the player identifier is equal to or greater than the number of each type of material item in the optimal combination. The step of determining whether the

4. In the program according to item 1 or 2, the step of determining the optimal combination is the step of determining the optimal combination from possible combinations of material items stored in association with the player identifier based on a predetermined method. and the condition determination step may include a step of determining whether or not the optimum combination of material items satisfies the conditions necessary to raise the parameters of the item to be raised.

5. 5. The program according to any one of items 1 to 4, further comprising determining a desired attainment value of a parameter of the item to be trained based on the player's input,
Determining the optimal combination may include determining, based on a predetermined method, an optimal combination of numbers of each type of material item consumed to reach the desired attainment value.

6. In the program according to any one of items 1 to 5, when it is determined that the conditions for increasing the parameter of the item to be raised are satisfied, the number of material items of each type in the optimal combination is reduced. The computer may further execute the step of presenting the player with an operation input unit for consuming and executing the training process.

7. 7. In the program according to any one of items 1 to 6, when it is determined that the condition for increasing the parameter of the item to be trained is not satisfied based on the determined optimum combination, the The computer can further execute a step of presenting to the player an operation input unit for consuming other types of material items to execute the training process instead of at least one material item of the optimum combination.

8. 8. In the program according to any one of items 1 to 7, when it is determined that the conditions for increasing the parameter of the item to be raised are not satisfied, at least one material item of the optimal combination is replaced with Then, the computer may further execute a step of presenting information to the player indicating that another type of material item will be consumed and the training process will be executed.

9. When it is determined that the optimum combination exceeds the necessary condition for raising the parameter of the item to be raised, presenting information to the player indicating that the material items exceeding the necessary condition are consumed to execute the raising process. The program according to any one of claims 1 to 7, further causing a computer to execute.

10. In the program according to any one of items 1 to 9, if it is determined that the condition for increasing the parameter of the item to be trained is not satisfied based on the determined optimal combination, the following The step of determining, based on a predetermined method, an optimal combination that is best suited for .

11. In the program according to item 10, the step of determining the next optimal combination based on a predetermined method, and increasing the parameter of the training target item based on the next optimal combination. The step of determining whether the conditions are satisfied is repeated until it is determined that the conditions for increasing the parameters of the items to be trained are satisfied or until there are no more combinations that can be determined by the predetermined method. The computer may further execute the step of presenting to the player information indicating that the possessed items are insufficient when there are no more combinations that can be determined by the predetermined method.

12. In the program according to any one of items 1 to 11, the predetermined method may include any one of dynamic programming, greedy method, and exhaustive search method.

13. A method as one aspect of the present invention is a computer-executed method for consuming a plurality of types of material items to raise the parameters of a training item stored in association with a player identifier of a player. determining an item to be trained based on a player's input; and determining an optimum combination of the number of each type of material item consumed to raise the parameter of the item to be trained based on a predetermined method. and a condition determination step of determining whether or not a condition for increasing the parameter of the item to be trained is satisfied based on the determined optimal combination.

14. An information processing device as one aspect of the present invention is an information processing device for consuming a plurality of types of material items to increase the parameters of a training item stored in association with a player identifier of a player, An item to be raised is determined based on the player's input, and an optimum combination is determined based on a predetermined method as an optimum combination of the number of each type of material item consumed to raise the parameters of the item to be raised. and condition determination for determining whether or not a condition for increasing the parameter of the item to be trained is satisfied based on the determined optimum combination.

According to the present invention, it is possible to increase the parameters of a training target item by consuming material items in an approximate optimum combination.

1 is a system configuration diagram according to an embodiment of the present invention; FIG. 1 is a hardware configuration diagram of an electronic device according to an embodiment of the present invention; FIG. 1 is a functional block diagram of an electronic device according to an embodiment of the invention; FIG. It is an example of the screen for games which concerns on one Embodiment of this invention. It is an example of the screen for games which concerns on one Embodiment of this invention. 4 is a flow chart showing information processing according to one embodiment of the present invention. FIG. 4 is a flow chart for determining an optimal combination according to one embodiment of the present invention; FIG.

[First Embodiment]
A game system 1 according to an embodiment of the present invention will be described below with reference to the drawings. In this specification, for convenience of explanation, more detailed explanation than necessary may be omitted. For example, detailed descriptions of already well-known matters and redundant descriptions of substantially the same configurations may be omitted.

The game system 1 can be implemented by a system in which a plurality of information processing devices are connected via a network, but can also be implemented by a single information processing device. An embodiment using a networked system is described herein. The information processing device can be, for example, an electronic device such as a computer, a smart phone, or a server.

FIG. 1 shows an example of the overall configuration of a game system according to one embodiment of the present invention. As shown in FIG. 1, the game system 1 includes a plurality of player terminals 10 and a server 20. The player terminals 10 and the server 20 are connected to a network 2 such as the Internet and can communicate with each other. Note that the game system 1 of the present embodiment will be described assuming a server-client system.

FIG. 2 is a block diagram showing the hardware configuration of the player terminal 10 and server 20 according to one embodiment of the present invention. The player terminal 10 has a processor 11 , a display device 12 , an input device 13 , a storage device 14 and a communication device 15 . Each of these components are connected by a bus 16 . It is assumed that an interface is interposed between the bus 16 and each constituent device as required. In this embodiment, the player terminal 10 is a smart phone. However, the player terminal 10 can be an electronic device such as a computer or a game device as long as it has the above configuration.

The server 20 likewise comprises a processor 21 , a display device 22 , an input device 23 , a storage device 24 and a communication device 25 . Each of these components are connected by a bus 26 . It is assumed that an interface is interposed between the bus 26 and each constituent device as required. In this embodiment, the server 20 is implemented by a computer.

The processors 11 and 21 control the overall operation of the player terminal 10 or the server 20, and are CPUs, for example. Note that an electronic circuit such as an MPU may be used as the processors 11 and 21 . The processors 11 and 21 perform various processes by reading and executing programs and data stored in the storage devices 14 and 24 . In one example, processors 11, 21 are comprised of multiple processors.

The display devices (displays) 12 and 22 display application screens and the like to the user (player) of the player terminal 10 or the user (administrator) of the server 20 under the control of the processors 11 and 21 . A liquid crystal display is preferable, but a display using an organic EL, a plasma display, or the like may be used.

The input devices 13 and 23 are user interfaces that receive input from the user to the player terminal 10 and the server 20, and are, for example, touch panels, touch pads, keyboards, or mice. Since the player terminal 10 is a smartphone in this embodiment, the player terminal 10 includes a touch panel as the input device 13, the touch panel also functions as the display device 12, and the display device 12 and the input device 13 are integrated. . The display device 12 and the input device 13 may be separate forms arranged at different positions. Since the server 20 is a computer, it has a keyboard and a mouse as input devices, and a liquid crystal display as a display device.

The storage devices 14 and 24 are storage devices included in a general smart phone or computer, including RAM, which is volatile memory, and ROM, which is nonvolatile memory. Storage devices 14, 24 may also include external memory. For example, the storage device 14 stores web applications (browsers) and native applications (game programs) for executing games, and the storage device 24 stores server game programs. A web application or the like is activated in response to a user's operation on the player terminal 10 and executed on an operating system (OS) pre-installed in the player terminal 10 . The server game program includes functions and various data for performing information processing so as to appropriately progress the game by a web application or the like executed on each player terminal, which is a client.

In one example, the storage devices 14 and 24 include a storage device using flash memory such as volatile memory RAM and non-volatile memory eMMC, UFS, SSD, magnetic storage device, and the like. It is a storage device provided in smartphones and computers. Storage devices 14, 24 may also include external memory. For example, the storage device 14 stores browser programs and game programs, and the storage device 24 stores server game programs.

The browser program and the game program are started in response to a user's operation on the player terminal 10 and run on an operating system (OS) pre-installed in the player terminal 10 . The server game program includes functions and various data for performing information processing so as to appropriately progress the game on the browser program and the game program executed on each player terminal, which is a client. A database that is physically separated from the player terminal 10 and the server 20 can also be used as the storage device.

Communication devices 15 and 25 exchange data with other devices via network 2 (not shown in FIG. 2). For example, the communication devices 15 and 25 perform wireless communication such as mobile communication and wireless LAN, and connect to the network 2 . The player terminal 10 uses the communication device 15 to communicate with the server 20 via the network. The communication devices 15 and 25 may perform wired communication using an Ethernet (registered trademark) cable or the like.

FIG. 3 shows an example of a functional block diagram of the player terminal 10 and the server 20 according to one embodiment of the present invention. The player terminal 10 includes an input unit 31, a display unit 32, a communication unit 33, and a game control unit 34, and the server 20 includes an input unit 41, a display unit 42, a communication unit 43, a game control unit 44, and an optimal combination determination unit 45. and a parameter increase condition determination unit 46 .

As a modified example, the optimal combination determination unit 45 and the parameter increase condition determination unit 46 may be provided in the player terminal 10 .

In this embodiment, these functions are realized by the processors 11 and 21 executing programs. For example, the programs to be executed are browser programs and game programs stored in the storage devices 14 and 24 . In this way, since various functions are realized by program loading, one part (function) may be partly or wholly included in another part. These functions may also be realized by hardware by constructing an electronic circuit or the like for realizing part or all of each function.

The input units 31 and 41 are configured using the input devices 13 and 23 and receive inputs from the user to the player terminal 10 and the server 20 . The player terminal 10 and the server 20 receive player input through the input units 31 and 41 . In this embodiment, the player terminal 10 can use a touch detection function that a smart phone having a touch panel generally has.

The display unit 32 displays the game screen on the display device 12, and displays the game screen according to the progress of the game and user operations. The game control unit 34 stores various data required for control processing and processing for executing the game of the present embodiment. In this embodiment, a browser program is used to process input/output information to the player, process transmission/reception signals to/from the server 20, and the like. When a game application is installed in the player terminal 10 and a game is executed, the game control unit 34 realized by this application performs various information processing for executing the game, such as progress of the game and management of data. Run.

The display unit 42 displays a management screen for the game manager on the display device 22 as necessary. The game control unit 44 performs processing for the game executed in the player terminal 10 of this embodiment. When the browser is activated in the player terminal 10, the game control unit 34 is implemented, and the server 20 is accessed to progress the game, in one example, the game control unit 44 periodically or as necessary Data is sent and received accordingly, and the game progresses.

For example, the game control unit 44 stores control processing and necessary various data for executing the game of the present embodiment, and appropriately provides them to the player terminal 10 . In the various data, conditions for increasing each parameter of each game item and game items possessed by the player are stored in association with the player identification information of the player. Parameters and the like for each item are also stored in association with each item.

Items include all game media that can be used in games, such as weapons, armor, characters, and various tools. One or more parameters are set for items that can be raised, and conditions for raising each parameter are defined. A condition for increasing at least one parameter of an item is to consume a material item.

In this embodiment, items include items that can be used as both training items and material items, and enhancement points that can only be used as material items. An item that can be used as both a trained item and a material item becomes a trained item if the player selects it as a trained item, and it becomes a material item if it is selected as a material item. For example, enhancement points can be acquired by converting items from material items.

Here, the item is a weapon, has parameters such as skill level, skill type, attack power, hit points (HP), etc., and is stored in association with an item identifier. The parameter to be raised is the skill level. Consume material items owned by the player to raise the skill level of the weapon. As the skill level rises, the attack power increases in battle against enemy characters, the hit points of allied characters rise, etc., depending on the skill type and skill level, making it possible to advance the game in an advantageous manner. .

The optimum combination determination unit 45 determines, based on a predetermined method, the optimum combination of the numbers of each type of material item that are consumed to raise the parameter of the item to be raised. Here, the optimum combination need not be the theoretically most optimum combination. Any combination considered to be optimal when determined based on a predetermined method may be used.

Possessed points are predetermined for each type of material item, and when you consume material items, you can obtain the acquisition points necessary to increase the parameters of the training target item by consuming the possessed points. It is also assumed that the number of acquired points required to increase the parameter of the training target item by a predetermined amount is also determined in advance.

The calculation for determining the optimal combination of the number of each type of material item consumed to raise the parameter of the item to be raised can be considered a so-called knapsack problem. Various methods for solving the knapsack problem are known, but in order to obtain the best solution (exact solution) among all combinations, it is necessary to execute exhaustive search, etc., which tries all combinations. If the types and number of items are small, it is possible to determine the exact solution by exhaustive search. However, as the number and types of items increase, the amount of calculation increases exponentially, so it is difficult to obtain an exact solution when there are computational resources and time constraints. In such cases, it is preferable to use methods for determining approximate solutions, such as greedy methods and dynamic programming. By presenting an approximate optimal combination within the time allowed by the player, it is possible to provide a user interface that causes less stress for the player.

In the present embodiment, a combination that is determined to be optimal by a predetermined method capable of obtaining an approximate solution is defined as the optimal combination. As a result, even if the types and number of items are increased, the parameters of the items to be trained can be increased in a certain rational combination for the player within the time allowed by the player, although it is an approximate solution. becomes possible.

The predetermined method may be any method as long as it is a solution method such as a dynamic programming method or a greedy method generally known as a method for solving the knapsack problem. It can also be determined by referring to a table showing the optimum combination predetermined by the game system administrator. An exhaustive search method may be used to find the exact solution.

The parameter increase condition determination unit 46 determines whether the optimal combination of the number of each type of material item determined by the optimal combination determination unit 45 satisfies the conditions for increasing the parameter of the item to be raised.

If it is determined that the conditions for increasing the parameters of the item to be trained are satisfied, the game control unit 44 consumes the number of material items of each type in the optimal combination to increase the parameters of the item to be trained. Execute the process.

When the parameter increase condition determination unit 46 determines that the conditions for increasing the parameters of the training target item are not satisfied, the optimum combination determination unit 45 removes the predetermined Using the method of , the next optimal combination is determined. Then, the next optimal combination is repeatedly executed until it is determined that the conditions for increasing the parameter of the item to be raised are satisfied, or until there are no more combinations that can be determined by a predetermined method. When there are no combinations that can be determined by a predetermined method, the game control unit 44 transmits information indicating that the possessed items are insufficient to the player terminal 10, and presents it to the player on the display unit 32 of the player terminal. do.

As types of items that can be both training objects and material items, three types of rarity, rare (R), super rare (SR), and super special rare (SSR), are defined. Furthermore, the number of acquired points required to raise each skill level of the item is determined in advance for each type of item. Here, it is assumed that the required number of acquired points is the same for the training target item and the material item. As long as the number of types of material items is two or more, any number of types may be used.

As types of enhancement points that can be used only as material items, three types of rarity, ie, rare (R), super rare (SR), and super special rare (SSR), are defined, and skill levels are set. The requirements for raising the skill level are the same as for items that can be both training targets and material items.

Reinforcement points can be acquired by converting items that can be both training targets and material items. For example, when the R item is converted into enhancement points, the R enhancement points possessed by the player are increased by one. Strengthening point 1 has the same meaning as owning one R material item. As the number of weapon items possessed increases, the management of weapon items becomes complicated. Weapon items that are not used as weapons can be easily managed by converting them into enhancement points as items to be used as material items.

Also, if there is a limit to the number of weapon items that can be possessed, by converting it into enhancement points, it is possible to own material items without being subject to the limit on the number of weapon items that can be possessed. When using weapon items as material items when raising the parameters of the item to be trained, it is necessary to select all weapon items to be used as material items. By converting the enhancement points into material items in advance, the player's input operation for enhancing the training target item becomes easier.

Consuming a material item consumes the possessed points of the item, acquires points for parameter increase, and uses them for the parameter increase process. The basic points for calculating the possession points and acquisition points of each material item are 25 points for R items, 100 points for SR items, and 1000 points for SSR items. It is a value obtained by multiplying the skill level. For example, the number of points obtained by consuming one skill level 3 R item, one skill level 2 SR item, and one skill level 1 SR item is 25 x 3 x 1 + 100 x 2 x 1 + 100 x 1×1 is 375. Therefore, if you consume a material item after raising its skill level, the points you get will be greater than the number of points you have before the skill level is raised.

Tables 1 to 3 show the acquired points required to raise the skill level of each type of item, the accumulated acquired points required to reach that skill, and the possession points of items of that skill level for each rarity.

At a given skill level, the possessed points and earned points for each item are the same. For example, the points acquired by consuming the R item at skill level 1 are 25 points, which is the same as the possession points, and at skill level 3, the points are 75 points. 50 points are required to raise the R item from skill level 1 to 2, and an additional 100 points are required to raise the skill level to 3, so the skill level is raised from 1 to 3. 150 cumulative points are required to do so. That is, 150 possessed points are consumed in order to increase the possessed points by 50 points. Therefore, when the R item is used as a material item, it is more efficient to consume the possessed points and obtain acquired points by consuming the item at the skill level 1 rather than consuming it after increasing the skill level. This also applies to SR items.

On the other hand, for SSR items, for small skill levels, the acquisition points required to raise the level are set smaller than the increase in possession points, and it is better to spend after raising the skill level. is set for efficiency. For example, since the basic points of an SSR item are 1,000, the possessed points of an SSR item of skill level 1 are 1,000. If you raise the skill level of the SSR item from 1 to 2, the possessed points will be 2000, which is 1000 higher than the skill level 1, but the cumulative required points required to raise the skill level 2 is only 200. be. In such a case, the points obtained are higher than the possessed points consumed by the player.

Therefore, 800 points are more efficient to consume at skill level 2 than at skill level 1. As the skill level increases, the required accumulated points increase, so the efficiency gradually decreases, and at skill level 11, the accumulated required points and possessed points become equal, and after skill level 12, the skill level increases. It is less efficient to consume after that.

In this way, by changing the efficiency of the acquired points before and after the skill level rises, it is possible to give the player a variety of choices and increase the interest. On the other hand, there is a problem that it becomes difficult for the player to decide what kind of combination of material items is optimal. Therefore, the optimum combination determination unit 45 determines the optimum combination. In this embodiment, a greedy method is used to determine the optimal solution combination. To enable a player to execute parameter raising processing using an approximately optimal combination within a stress-free time.

An example 400 of raising the parameter of the item to be raised according to the present embodiment will be described with reference to the flowchart shown in FIG. The game executed by the game system may be any form of game as long as it can be played using one or more items. The player can enjoy raising the parameters of the item and raising the item. As one aspect of item parameters, a form of raising the skill level will be described, but other parameters can also be implemented.

When the player performs an operation input for strengthening a weapon item, a training target item selection screen is displayed on the display unit 32 of the player terminal 10, and the player selects a training target item from the weapon items possessed by the player, and performs an input to determine the training target item. When this is done via the player input unit 31 of the player terminal 10, the server 20 receives this via the communication unit 43 (S401).

Next, the server 20 causes the player terminal 10 to display a screen for selecting material items to be consumed in order to grow the item to be trained, and the player selects the material items to be consumed (S402). A player may select a weapon item as a material item, or may select a reinforcement point as a material item. When selecting a weapon item as a material item, select which weapon item to use as the material item. Here, the case of selecting enhancement points as material items will be described as an example.

Then, the server 20 transmits to the player terminal 10 information for displaying a reaching parameter determination screen for inputting the desired reaching value of the parameter of the item to be trained desired by the player, and the player terminal 10 reaches based on this information. A parameter determination screen is displayed, and the player inputs a desired skill level (S404).

An example of the arrival parameter determination screen is shown in FIG. On the attainment parameter determination screen 50, item A, which is an SSR weapon item, is selected as a training target item, and the current skill level is 15. It is assumed that the player has selected to use enhancement points as material items. The player possesses 88 SSR enhancement points, 73 SR enhancement points, and 156 R enhancement points as material items. As described above, enhancement points correspond to each type of item. For example, one R enhancement point is synonymous with one R item. Therefore, in the description of this specification, the number of items and the number of enhancement points are used interchangeably.

The player can operate the increased skill Lv specification operation section 51 to specify a desired skill level to reach. FIG. 5 shows that the skill level 15 to 18 is selected. Player input units 53 and 54 can select whether or not to use SSR enhancement points and SR enhancement points, respectively. Turn these inputs off if you don't want to use these enhancement points, and turn them on if you do. The item types that are turned off are not selected without changing the process 400, for example, by temporarily setting the possessed points of the selected type of enhancement points to 0 so that they are not selected. can be made

When the desired parameter value is determined by the player, the optimal combination is determined based on a predetermined method as the optimal combination of the number of each type of material item consumed to raise the parameter of the item to be raised. (S406). Next, in S406, it is determined whether or not the optimum combination has been determined (S408). If there are no selectable material items for determining the optimum combination, the optimum combination cannot be determined.

As will be described later, if it is not determined that the determined optimal combination satisfies the parameter increase condition, the optimal combination determination process (S406) is repeatedly executed to determine the next optimal combination as the optimal combination. If there is no next combination that can be determined by a predetermined method after the optimal combination has already been determined, information indicating that the optimal combination could not be determined is sent to the game control unit 44 in S406. Based on this, it is determined in S408 that the optimum combination could not be determined.

If it is determined that the optimum combination could not be determined, it is determined whether or not the target parameter can be decreased because the items in possession cannot reach the desired target parameter (S410). For example, if the reaching parameter becomes equal to the current parameter when the reaching parameter is decreased, it can be determined that the reaching parameter cannot be decreased.

If it is determined that the target parameter can be decreased, the desired target parameter is decreased (S412), and the optimal combination determination process is performed again for the decreased target parameter (S406). The optimum combination determination process executed for the reduced reaching parameters is the same as the process executed when the reduced reaching parameters are specified at the start of execution of process 400 . This makes it possible to execute the parameter raising process with the optimum combination that the game system considers to be optimum up to the reachable skill level, even though the reachable skill level specified by the player cannot be reached.

If it is determined that the attainment parameter cannot be decreased, there is a shortage of items for increasing the parameter, so a message to that effect is displayed (S414), and the process 400 ends.

If the optimal combination is determined in S406, it is determined as true in S408, and based on the determined optimal combination, it is determined whether or not the conditions for increasing the parameter of the training target item are satisfied. (S416). If it is determined in S416 that the parameter increase condition is not satisfied, the process returns to S406 to determine the next optimal combination based on a predetermined method.

In this specification, the optimal combination determined as the most optimal combination by the game system is referred to as the first optimal combination, and the other optimal combination determined by the game system is referred to as the second optimal combination. In this embodiment, the optimal combination determined first after the start of execution of the process 400 is referred to as the first optimal combination, and the next determined after it is determined that the first optimal combination does not satisfy the parameter increase condition is called a second optimum combination. The next optimal combination determined repeatedly is also referred to as the second optimal combination. Also, the optimum combination that is determined before it is determined that the parameter increase condition is satisfied may be referred to as a provisional optimum combination.

The predetermined method used in the process of determining the first optimal combination and the predetermined method used in the process of determining the second optimal combination may be the same or different. I don't mind. For example, the predetermined method used to determine the first optimal combination is determined by referring to a table showing the optimal combinations predetermined by the game system designer for the arrival parameters, and the second optimal combination is determined. For such combinations, a greedy method may be used to determine the next best combination based on the table. The first optimal combination may be determined by a greedy method, or the next optimal combination may be determined by referring to a predetermined table.

Based on the determined optimum combination, when it is determined that the conditions for increasing the parameter of the item to be trained are satisfied (S416), the player is presented with an operation input unit for executing the parameter increasing process. (S418). Also, it is determined whether the determined optimal combination is the first optimal combination determined first in process 400 or the second optimal combination (S420). Here, it is possible to determine whether or not the combination is the first optimal combination by determining whether or not the processing for determining the optimal combination has been performed two or more times. If it is the second optimum combination, the player is presented with information indicating that the parameter will be increased by consuming material items different from those included in the first optimum combination (S422). ).

FIG. 6 shows an example of a game screen including an operation input section for executing parameter increase processing. Possessed item display section 61 indicates that the possessed enhancement point decreases from 88pt to 50pt, the SR enhancement point decreases from 73pt to 0pt, and the R enhancement point decreases from 156pt to 0pt when the skill level raising process is executed. When raising the skill level under the presented conditions, the player performs an input operation on the operation input unit 62 for executing the training process. If the execution under this condition is not desired, an input operation is performed on the operation input section 63 for canceling. This game screen is an example of a game screen in the case of the next optimal combination, and includes an information presenting section 64 for presenting to the player that the parameter increasing process will be executed with reduced efficiency.

When the player's input is received and it is determined that the instruction is for parameter increase processing (S424), parameter increase processing is executed (S426). The parameter increasing process can be executed, for example, by increasing and updating the parameters of the training item stored in association with the player. If the player's input is a cancel instruction, the process 400 ends without executing the parameter increase process.

As a modification, an input to change the desired reach parameter value may be accepted as a player input. In this case, the process may return to S406 and restart from the process of determining the optimum combination. An input to change the item to be trained (base item) may be accepted, and the screen may return to the material item selection screen display (S402).

Next, more detailed processing of the optimal combination determination processing (S406) and the parameter increase condition determination processing (S408) as an embodiment will be described. Here, a combination of material items that is optimal for the game system is determined in advance for each item type and skill level, and stored in the game control unit 44 . The optimal combination of material items does not need to be a theoretically optimal exact solution. Any combination that the designer or operator of the game system considers optimal may be used. For example, Table 4 shows an example of an optimal combination for increasing the skill level of SSR items.

Table 4 shows that the optimum combination for increasing the skill level of the SSR training target item from 1 to 2 is the combination of consuming two SR items without consuming SSR and R items as material items. showing. When raising the skill level from 19 to 20, the optimum combination is 6 SSR items, 0 SR items, and 0 R items. Here, the number of each material item is based on the premise that the skill level of each item is 1. The skill combination indicates the skill level of which material item among the types of material items included in the optimal combination is increased to what level before it is consumed.

In order to raise the skill level of the training target item SSR from 19 to 20, it is necessary to acquire 19000 points by consuming material items. As described above, if the skill level of the SSR item is low, it is possible to efficiently obtain acquisition points by consuming the item after raising the skill level. When the skill level raising process for raising the skill level from 19 to 20 is executed based on the optimum combination, the game control unit 44 selects 3 material items SSR items and 42 SR items according to the predetermined Table 4. After consuming 2 SSR items as material items to reach skill level 6 and 1 SSR item to skill level 7, the skill level raising process for the training target item is executed.

In this case, the player has consumed 10,200 possessed points, but by efficiently raising the skill level of the material item, he or she can obtain the required 19,000 points and raise the skill level of the training item to 20. .

If multiple levels of leveling are required to reach the desired skill level, the total number of material items for each level shown in Table 4 is the optimal combination.

When the player inputs the attainment parameter (S404), the game control unit 44 refers to Table 4 stored in advance and selects the optimum material for increasing the training target item designated by the player to the inputted attainment skill level. A combination is acquired (S406). For example, if the player selects an SSR item with a current skill level of 18 as an item to be trained and specifies 20 as the attainable skill level, the optimum combination is the optimum combination SSR 6 + SR 36 and skill level 18 for raising the skill level from 18 to 19. to 19, SSR12+SR78 is derived as the optimum combination.

Next, based on the determined optimum combination, it is determined whether or not the conditions for increasing the parameter of the item to be raised are satisfied (S408). Here, it is determined whether or not the number of each type of enhancement points possessed by the player is greater than or equal to the number of each type of material items in the determined optimal combination. For example, it is determined whether or not the number of each type of material item stored in association with the player identifier is greater than or equal to the number of each type of material item in the optimum combination. When the player has 20 SSR enhancement points as a material item and 70 SR enhancement points, the SSR enhancement points are the optimal combination of 12 or more, but the SR enhancement points are not 78 or more. Therefore, it is determined that the condition for raising the parameter of the item to be raised is not satisfied.

If it is determined that the conditions for increasing the parameter of the training target item are not satisfied, another combination that is the next optimal combination is determined by a predetermined method (S409). Here, while reducing the number of SRs determined to be insufficient in the optimal combination, in order to acquire the necessary points to raise the skill level, the consumption of SSRs that were not determined to be insufficient will be increased. .

The greedy method is used to determine how many SSR consumptions are increased for each skill level increase so that optimization efficiency is minimized. The optimization efficiency is the difference between the number of possessed points of the material items of the first optimal combination and the number of possessed points of the material items of the combination including other items. For example, the number of possessed points of the material items of the first optimal combination at the stage of raising the skill level from 19 to 20 is 10200 points in total of the possessed points of SSR×6 and SR×42. Another combination is to increase the SSR consumption number by one to SSR x 7 and SR x 34, which converts to SSR skill level 3 x 5 and SSR skill level 2 x 2, and acquires the required points of 19000.

In this case, the total possessed points to be consumed is the sum of 7000 points for SSR×7 and 3400 points for SR×34, which is 10400 points. The optimization efficiency is the difference from 10200, and since the possessed points consumed to raise the skill level increased by 200, it is expressed as 200 less. On the other hand, if the SSR consumption number is increased by one at the stage of raising the skill level from 18 to 19, SSR×7 and SR×30 are required, and 10,000 possession points are consumed. The optimization efficiency at this time is the difference from 9600, which is 400 less. When increasing the skill level from 1 to 20, the optimization efficiency is calculated for each skill level increase, and the number of SSRs for increasing the skill level with the smallest amount of decrease is increased.

Therefore, when increasing the skill level from 18 to 20, the next optimal combination is the combination that increases the SSR consumption by one at the stage of increasing the skill level from 19 to 20, which has a smaller amount of optimization efficiency reduction. is determined as Next, when the optimal combination satisfies the skill level increase condition, it indicates that the skill level increase processing is executed by consuming a combination of material items less efficient than the optimal combination, here, more SSR items. Information is displayed to the player (S422). The optimal skill level to raise each material item before consuming it may be determined by a greedy method or by using a predetermined reference table.

If the next optimal combination still has less SRs than the number required for the optimal combination, the next optimal combination is determined. For example, by increasing the SSR by one when increasing the skill level from 19 to 20, the SSR used is increased to 8 and the number of SR is decreased by 6. This is repeated until the number of enhancement points of SSR and SR required for the optimum combination falls below the number of possessed enhancement points.

If all the combinations for raising the skill level to the attained level do not fall below the number of possessed enhancement points, the attained skill level is lowered by one (S412), and the reached skill level that has been lowered by one is again subjected to S406, The processes of S408 and S416 are repeatedly executed to determine the optimum combination that is less than the number of possessed enhancement points. In this embodiment, after lowering the attained skill level, the optimum combination first determined for the lowered attained skill level is set as the first optimum combination, and when this satisfies the skill level increase condition, the first optimum combination is used. does not display to the player information indicating that skill level raising processing is to be executed with a combination of material items that is less efficient than the optimal combination.

Further, the processes of S406 to S416 are repeatedly executed until the optimal combination that satisfies the parameter increase condition is determined or the lowered skill level becomes equal to the current skill level, and the lowered skill level is the current skill level. , it is determined that the attainment parameter cannot be lowered any further (S410), a display indicating the shortage of items is displayed to the player (S414), and the parameter increase process ends.

By using this embodiment, it is possible to increase the parameter of the item to be trained to a reaching parameter value desired by the player with a simple operation. In particular, there are multiple types of material items, the number of points obtained by consuming the material item is predetermined for each type of material item, and the consumption required to raise the parameters of the item to be trained by a predetermined amount. If the number of points to be earned is predetermined, there are many possible combinations of material items to raise the desired parameter value. Determining the optimum combination can enhance the interest of the player, but may make the player feel that it is complicated.

By using this embodiment, it is possible to automatically determine the optimum combination by a predetermined method, execute processing for increasing the parameters, and simplify the player's operation. As the types of material items increase, the amount of calculation required to calculate the exact solution becomes enormous, making it difficult for the player to complete the calculation within an allowable time. In addition, when there are multiple types of material items, the value of each material item may change depending on the player's preference and the number of points possessed at that time. In some cases, it may not be possible to determine

This task is a so-called knapsack problem, and by calculating an approximate solution using a predetermined method for solving the knapsack problem, the amount of calculation is reduced, and the optimal combination is achieved within the time allowed for the player. can be determined. Since the prima facie optimal solution is a combination considered optimal by the game system designer based on a predetermined method, it may not suit the player's taste. By also providing manual parameter raising means, the parameter raising process can be executed with a combination that perfectly matches the player's taste. If the number of types of material items is small or if sufficient computational resources are available, a method for calculating an exact solution such as an exhaustive search method may be used.

As a modification, the desired reach parameter may be fixed without requiring the player to input the desired reach parameter. For example, it may be possible to always raise the parameter to the maximum value, or to allow only one parameter to be raised.

As yet another modified example, the process of lowering the reach parameter may not be executed when the possessed items are insufficient. In this case, for example, the process may not include the determination of whether the reach parameter can be lowered (S410) and the process of lowering the reach parameter (S412).

[Second embodiment]
Unlike the first embodiment, the step of determining the optimal combination includes determining the optimal combination from combinations that can be combined among the material items stored in association with the player identifier based on a predetermined method. , the condition determination step includes a step of determining whether the determined optimum combination of material items satisfies the conditions necessary to raise the parameters of the item to be trained. In the present embodiment, a combination that achieves the total points that match the points required to raise the parameters of the training target item is called the first optimum combination, and a combination that produces the total points exceeding the required points is called the second optimum combination. called the optimal combination. Hereinafter, the points different from the first embodiment will be mainly described, and the same parts as the first embodiment will be described only to the extent necessary.

The flow chart of the parameter increasing process is the same as that shown in FIG. 4, but the process of decreasing the reaching parameter (S410 and S412) is not executed here. It is clear to those skilled in the art that execution of these processes is still possible. FIG. 7 shows a detailed information processing flow 700 of the optimum combination determination process (S406) in this embodiment. In this embodiment, a provisional optimal combination is determined, and the process of updating the provisional optimal combination is repeated until the determined optimal combination satisfies the parameter increase condition or until there are no remaining material items.

First, as material items that can be candidates for determining the optimal combination, only material items having points less than the points required to raise the parameters of the item to be trained are extracted from the items possessed by the player. (S701). Next, it is determined whether or not there is a remaining material item that can be used as a candidate item included in the optimum combination among the extracted material items (S702). For example, if items already selected as material items to be included in the optimum combination are excluded, it is determined whether or not there are remaining material items.

If it is determined that the material items exist, the material items to be incorporated into the optimum combination are selected from the extracted material items (S704). When selecting a material item, the material item that has the minimum points among the material items for which the sum of the points possessed by the material items included in the already determined optimal combination and the selected material item is greater than or equal to the required points. is selected, and if such a material item cannot be selected, the material item having the maximum possessed points is selected, and the process of flow 700 ends.

The processing after it is determined in S416 that the parameter increase condition is satisfied is the same as in the first embodiment. If it is determined in S408 that the optimum combination has not been determined, a shortage of items is displayed (S412), and the process of process 400 ends. Determination of whether or not the first optimal combination (S420) is made when the total number of points acquired by consuming each material item of the optimal combination is equal to or greater than the points required for increasing the parameter and does not reach the required points. If the points are less than a value obtained by adding a predetermined value (e.g. 5), the combination is determined to be the first optimum combination. be able to. The required number of points can be used as the threshold value for determining the first optimum combination, with the predetermined value being zero.

In S706, if it is determined that there is no material item having possession points equal to or more than the required points, information indicating that the optimum combination could not be determined is output to the game control unit 44 ( S710), the process of flow 700 is terminated.

When the process of S700 ends, if it is determined in S408 of process 400 that the optimum combination has been determined, it is determined whether or not the optimum combination satisfies the parameter increase condition (S416). In this embodiment, the total value of points acquired by consuming the material items included in the provisionally optimal combination determined at that time is equal to or greater than the points required to raise the parameters of the item to be trained. It is determined whether or not. If it is equal to or greater than the required point, it is determined to be true, and if it is less than the required point, it is determined to be false. If it is determined to be true, the process proceeds to subsequent S418, and if it is determined to be false, the process returns to S406 to determine the next optimal combination.

The processing after it is determined in S416 that the parameter increase condition is satisfied is the same as in the first embodiment. If it is determined in S408 that the optimum combination has not been determined, a shortage of items is displayed (S412), and the process of process 400 ends. Determination of whether or not it is the first optimal combination (S420) is performed when the total number of points obtained by consuming each material item of the optimal combination matches the points required for increasing the parameter. It can be determined that the combination is the first optimum combination, and if it is greater than the required points by a predetermined value (for example, 5) or more, it can be determined that the combination is not the first optimum combination.

Next, an example of more specific processing when using this embodiment will be described. In the present embodiment, the items to be raised are character cards, and as in the first embodiment, there are R items (cards), SR items (cards), and SSR items (cards). The target parameter to be raised is the skill level. A character card is an idle card that a player can possess. Idol cards can also be used as material items. Furthermore, you may use a trainer card as a material item. There are a plurality of types of trainer cards, such as a limited-time trainer A, a limited-time trainer B, and the like. Tables 5 and 6 show the points (possession points) that can be obtained when trainer cards and idol cards are consumed in order to increase each skill level of SSR items.

In order to raise the skill level of the SSR idol card by one, it is necessary to acquire 100 or more points by consuming material items. Table 5 shows the number of points that can be obtained by consuming each type of card for each skill level when trainer cards are used as material items. For example, in order to raise the skill level of an SSR idol card from 1 to 2, a limited-time Trainer D or a Special Trainer can earn 100 points or more with one card, so consume one card. You can raise the skill level to 2 by doing, but if you combine a master trainer and a veteran trainer, you need to get 100 points with 3 master trainers and 1 veteran trainer.

Unlike the first embodiment, the number of points acquired does not change depending on the skill level of the material item, so the possessed points and acquired points are the same. On the other hand, the points earned when consuming material items vary depending on the skill level of the training item. When consuming a veteran trainer to raise the skill level of an item targeted for SSR training, 10 points can be obtained by raising the skill level from 1 to 2, but 7 points can be obtained by raising the skill level from 2 to 3. It becomes possible.

Even when raising the skill level of multiple stages at once, the necessary acquired points are calculated for each level, and the total value thereof becomes the required acquired points. Here, if the total value of points obtained by consuming items reaches 100 points or more, the special skill level of the training target item can be raised. Surplus points earned over 100 points cannot be carried over to advance the skill level to the next level, but may be carried over. For example, when raising the skill level of the SSR idol card from 1 to 3, if one special trainer is used to raise the skill level from 1 to 2, 400 points will be surplus, but the skill level will be 2 The extra 400 points cannot be used to move from to 3. It is necessary to acquire 100 points by newly consuming another card.

Table 6 shows, for each skill level, the number of points that can be obtained by consuming each card when the idol card is used as a material item. Attributes are set for the character cards, and when the attributes of the character card to be trained and the attributes of the material character cards match, the point value obtained is set to increase by a predetermined amount.

In the game control unit 44, as shown in Table 7, card items are associated with the player identifiers P0105 and P0106 of the players PA and PB. If the first letter of the item identifier is I, it means an idle card, and if it is T, it means a trainer card. For example, the player PA has idle cards with item names IA, IC, and ID, and has two IBs, and has trainer cards with item names TA, TB, TD, TF, and TK. I have one of each.

In this embodiment, the player first selects whether to use an idol card or a trainer card as a material item. For example, when the player PA selects an SSR idol card IA with a skill level of 1 as a training target item and selects a trainer card as a material item in order to increase the skill level to 2, first, the possessed trainer card Only material items with less than the required points are extracted from Referring to Table 5, since the item types are limited-time training cards, bete training, limited-time bete training, and must-train cards with required points less than 100, these cards are extracted, and limited-time training cards are extracted because they are cards with 100 or more points. not. Then, from among the extracted Trainer Cards, if the minimum material item is selected from among the material items that have already been selected and included in the provisional optimum combination and the total number of points exceeds the required points, and it cannot be selected. Select the maximum material item for .

At the start of the process 400, since the optimum combination has not been determined even once, the material item having the maximum possessed points (50 points) is selected from the extracted trainer cards. Then, since the required points of 100 points cannot be reached only by mass training, S704 is executed again. Since using any of the remaining trainer cards still does not reach the required point of 100, the maximum item, Limited Time Betetra (40), is selected. Furthermore, when S704 is executed again, the total number of points exceeds 100 regardless of which of the Betetra (30) and the limited-time Treticket (25) is selected. In this case, the limited-time training ticket (25), which is the material item having the minimum possessed points, is selected, and the total points become 115, satisfying the required points.

When the points exceeding the required points are acquired, it is determined that the combination is not the first optimum combination (S420), and information indicating that the combination is not the optimal combination, here, points exceeding the required points are acquired. It is displayed to the player (S422). For example, if the total points is 101, information is displayed to the player indicating that points exceeding the required points will be obtained. If the required points cannot be obtained no matter how the material items possessed by the player are combined by a predetermined method, it is determined that the combination is impossible (S710), and information indicating that the possessed items are insufficient is displayed to the player. (S414), and the process ends. Even when idle cards are used instead of trainer cards, the optimum combination can be determined by similar processing.

By using this embodiment, based on a predetermined method, the optimum combination is determined from combinations that can be combined among the material items stored in association with the player identifier, and the material items of the determined optimum combination are trained. It is possible to determine whether the conditions necessary to increase the parameters of the target item are met.

In the above-described embodiment, the player terminal 10 uses a web application to make the user play a game. By executing it, information processing for progressing the game may be executed. A native application includes a game program for executing a game and various data referred to when the game program is executed. A native application is activated in response to a user's operation on the player terminal 10 and executed on an operating system (OS) pre-installed in the player terminal 10 . In this case, in the above embodiment, the player terminal 10 may have at least some of the functions provided by the server 20 . In still another embodiment, the player terminal 10 may be able to execute only one player terminal 10 without communicating with the server 20 .

In the processes or operations described above, as long as there is no contradiction in the process or operation, such as using data that cannot be used at that step in a certain step, the process or operation can be freely performed. can be changed. Moreover, each embodiment described above is an illustration for explaining the present invention, and the present invention is not limited to these examples. The present invention can be embodied in various forms without departing from the gist thereof.

1: Game system 2: Network 10: Player terminal 11: Processor 12: Display device 13: Input device 14: Storage device 15: Communication device 16: Bus 18: Skill level 19: Skill level 20: Server 21: Processor 22: Display Device 23 : Input device 24 : Storage device 25 : Communication device 26 : Bus 31 : Input unit 32 : Display unit 33 : Communication unit 34 : Game control unit 41 : Input unit 42 : Display unit 43 : Communication unit 44 : Game control unit 45: Optimal combination determination unit 46: Parameter increase condition determination unit

Claims (14)

A program for consuming a plurality of types of material items to raise the parameters of a training item stored in association with a player identifier of a player,
determining an item to be raised based on player input;
Determining, based on a predetermined method, the optimum combination of the numbers of each type of material item that are consumed to raise the parameter of the item to be raised;
a condition determination step of determining whether or not a condition for increasing the parameter of the item to be trained is satisfied based on the determined optimal combination;
A program that causes a computer to run The number of points obtained by consuming material items is predetermined for each type of material item, and the number of points to be consumed to raise the parameters of the item to be trained by a predetermined amount is predetermined. program as described. 2. The condition determining step includes determining whether or not the number of each type of material item stored in association with the player identifier is greater than or equal to the number of each type of material item in the optimal combination. 2. The program according to 2. The step of determining the optimal combination includes determining the optimal combination from possible combinations of material items stored in association with the player identifier based on a predetermined method,
3. The program according to claim 1 or 2, wherein said condition determination step includes a step of determining whether said optimal combination of material items satisfies a condition necessary to raise the parameter of said item to be raised. further comprising determining a desired target value for a parameter of the item to be raised based on player input;
Determining the optimal combination includes determining, based on a predetermined method, an optimal combination of the number of each type of material item consumed to reach the desired attainment value.
The program according to any one of claims 1-4. When it is determined that the conditions for increasing the parameters of the training target item are satisfied, the player is provided with an operation input unit for executing training processing by consuming the number of material items of each type of the optimal combination. The program according to any one of claims 1 to 5, further causing the step of presenting to be executed by a computer. If it is determined that the condition for increasing the parameter of the training target item is not satisfied based on the determined optimal combination, at least one material item of the optimal combination is replaced with another type of material item. 7. The program according to any one of claims 1 to 6, further causing the computer to execute a step of presenting the player with an operation input unit for consuming material items and executing a training process. When it is determined that the conditions for increasing the parameter of the item to be raised are not satisfied, instead of at least one material item of the optimal combination, another type of material item is consumed to execute the raising process. 8. The program according to any one of claims 1 to 7, further causing the computer to execute the step of presenting information to the player indicating that the game is to be played. When it is determined that the optimum combination exceeds the necessary conditions for raising the parameters of the item to be raised, presenting information to the player indicating that the material items exceeding the necessary conditions are consumed to execute the raising process. The program according to any one of claims 1 to 7, further causing a computer to execute. determining, based on the determined optimal combination, the next optimal combination based on a predetermined method when it is determined that the conditions for increasing the parameters of the training target item are not satisfied; 10. The program according to any one of claims 1 to 9, further executed by a computer. Determining the next optimal combination based on a predetermined method, and determining whether a condition for increasing the parameter of the item to be trained is satisfied based on the next optimal combination. The steps are repeatedly executed until it is determined that the conditions for increasing the parameters of the item to be raised are satisfied, or until there are no more combinations that can be determined by the predetermined method, and determined by the predetermined method. 11. The program according to claim 10, further causing the computer to execute the step of presenting to the player information indicating a shortage of possessed items when there are no more possible combinations. 12. The program according to any one of claims 1 to 11, wherein said predetermined method includes any one of dynamic programming, greedy method and exhaustive search. A computer-implemented method for consuming multiple types of material items to increase the parameters of a training target item stored in association with a player identifier of a player, comprising:
determining an item to be raised based on player input;
Determining, based on a predetermined method, the optimum combination of the numbers of each type of material item that are consumed to raise the parameter of the item to be raised;
a condition determination step of determining whether or not a condition for increasing the parameter of the item to be trained is satisfied based on the determined optimal combination;
A method, including An information processing device for consuming a plurality of types of material items to increase the parameters of a training target item stored in association with a player identifier of a player,
Determine the item to be trained based on player input,
Based on a predetermined method, determining an optimal combination as an optimal combination of the number of each type of material item consumed to raise the parameters of the item to be raised,
condition determination for determining whether or not a condition for increasing the parameters of the training target item is satisfied based on the determined optimal combination;
Information processing equipment.

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