WO2023273009A1 - Procédé et appareil d'ajustement d'une puissance aux échecs, dispositif, support de stockage et programme - Google Patents

Procédé et appareil d'ajustement d'une puissance aux échecs, dispositif, support de stockage et programme Download PDF

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Publication number
WO2023273009A1
WO2023273009A1 PCT/CN2021/123480 CN2021123480W WO2023273009A1 WO 2023273009 A1 WO2023273009 A1 WO 2023273009A1 CN 2021123480 W CN2021123480 W CN 2021123480W WO 2023273009 A1 WO2023273009 A1 WO 2023273009A1
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Prior art keywords
chess
player
game
move
level
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PCT/CN2021/123480
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English (en)
Chinese (zh)
Inventor
李文哲
卢乐炜
蒲雪
李凯
鲁白
韩殿飞
蔺颖
唐明勇
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北京市商汤科技开发有限公司
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Priority to KR1020247003392A priority Critical patent/KR20240024275A/ko
Publication of WO2023273009A1 publication Critical patent/WO2023273009A1/fr

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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70—Game security or game management aspects
    • A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
    • A63F13/795—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories for finding other players; for building a team; for providing a buddy list
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F3/00—Board games; Raffle games
    • A63F3/02—Chess; Similar board games
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/60—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
    • A63F13/67—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F3/00—Board games; Raffle games
    • A63F3/04—Geographical or like games ; Educational games
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/55—Details of game data or player data management
    • A63F2300/5546—Details of game data or player data management using player registration data, e.g. identification, account, preferences, game history

Definitions

  • the embodiments of the present disclosure relate to the field of data processing, and relate to but not limited to a method, device, equipment, storage medium and program for adjusting chess power.
  • the online human-machine chess game is a preset robot chess skill level, and the robot chess skill level is set according to multiple levels; in this way, the user can only mechanically follow the chess skill level set by the system, and the experience is not good.
  • Embodiments of the present disclosure provide a method, device, equipment, storage medium, and program for adjusting chess strength.
  • An embodiment of the present disclosure provides a method for adjusting chess strength, the method comprising:
  • the chess strength of the artificial intelligence (AI) chess player can be adaptively adjusted; thus, dynamically adjusting the chess strength of the AI chess player can make
  • the chess game reaches a state of balance between victory and defeat, which enhances the player's sense of experience.
  • the method before determining the difference in chess strength between the player's moves and preset moves in the game data, the method further includes: based on the player's moves As for the historical moves of the intelligent chess players who are playing, determine at least one historical recommended chess move of the historical chess moves; and determine the at least one historical recommended chess move as the preset chess move. In this way, the recommended move is used as the preset move, so that it can be accurately judged that there is a gap between the player's move and the preset move.
  • determining the difference in chess strength between the player's move and a preset move includes determining that the player's move is within the at least one historical recommendation The ranking of chess strength in the chess moves; based on the ranking of chess strength, the difference in chess strength between the player's chess moves and the preset chess moves is determined. In this way, the chess moves of the intelligent chess player are adjusted adaptively, so that the chess moves output by the intelligent chess player are equivalent to the chess moves of the player.
  • the determination of the target chess strength level of the smart chess player against the player based on the chess power gap and the chess game information of the game to be adjusted includes: based on the chess moves of the player, Determining at least one future recommended move for playing against the player's moves; based on the gap in chess strength, determining a game for the intelligent chess player against the player's moves in the at least one future recommended move Step: Based on each pair of chess moves in the chess game to be adjusted and the chess game information, determine the target chess strength level of the intelligent chess player playing against the player.
  • the determining the target chess strength level of the intelligent chess player against the player based on each pair of chess moves in the chess game to be adjusted and the chess game information includes: based on each Comparing chess moves, determining the initial chess power level of the intelligent chess player in the chess game to be adjusted; based on the game result of the chess game to be adjusted and the chess game information, adjusting the initial chess power level to obtain the intelligent chess The target chess skill level of the said player in the hand game. In this way, according to the game results of the chess game, the initial chess level is adjusted as a whole, so that the player and the intelligent chess player can reach a state of balance between victory and defeat in multiple chess games.
  • the adjustment of the initial chess power level based on the game result of the chess game to be adjusted and the chess game information to obtain the target chess power level of the intelligent chess player against the player includes: Based on the chess game information, determine the chess power gap between each chess move of the player and the preset chess move, and obtain a chess power gap set; determine the chess power level of the player based on the chess power gap set ; Based on the result of the game and the level of the chess skill of the game, the initial chess skill level is adjusted to obtain the target chess skill level of the intelligent chess player playing against the player.
  • the player's level of chess power can be determined; and based on the game result of the game and the player's level of chess power, a more reasonable intelligence can be set.
  • the target level of chess strength can be set.
  • the adjustment of the initial chess skill level based on the game result and the game skill level to obtain the target chess skill level of the intelligent chess player against the player includes: determining the The difference between the initial chess skill level and the chess skill level of the game; based on the game result and the difference, the initial chess skill level is adjusted to obtain the target chess skill level. In this way, it is possible to more accurately adjust the chess level of the intelligent chess player as a whole, so that the intelligent chess player is on par with the players.
  • the adjusting the initial chess power level based on the game result and the difference value to obtain the target chess power level includes: when the game result is the player wins or In the case of a draw in the game, based on the difference, increase the initial chess power level to obtain the target chess power level; or, when the game result is that the intelligent chess player wins, based on the difference , reducing the initial chess skill level to obtain the target chess skill level. In this way, by adjusting the chess strength of the intelligent chess player as a whole, the outcome of multiple games can be balanced, and the interest of the players can be aroused.
  • the method further includes: In the next chess game of adjusting the chess game, detecting whether the player in the next chess game is the player in the chess game to be adjusted; in response to the player in the next chess game being the player in the chess game to be adjusted , using the target chess power level as the initial chess power level of the next game. In this way, when the players are the same chess player, by using the adjusted target chess power level in the previous game as the initial chess power level of the next game, a better game experience can be provided for the players.
  • An embodiment of the present disclosure provides a device for adjusting chess strength, the device comprising:
  • the first obtaining module is configured to obtain the game data between the player and the intelligent chess player in the chess game to be adjusted;
  • the first determination module is configured to determine the difference in chess strength between the player's chess move and the preset chess move in the game data;
  • the second determining module is configured to determine a target chess strength level for the intelligent chess player to play against the player based on the chess strength gap and the chess game information of the game to be adjusted.
  • an embodiment of the present disclosure provides a computer storage medium, on which computer-executable instructions are stored. After the computer-executable instructions are executed, the above-mentioned method for adjusting chess strength can be realized.
  • An embodiment of the present disclosure provides an electronic device.
  • the electronic device includes a memory and a processor.
  • Computer-executable instructions are stored in the memory.
  • the processor executes the computer-executable instructions in the memory, the above-mentioned chess skills can be realized. Adjustment method.
  • a computer program includes computer readable code, and when the computer readable code runs in an electronic device, a processor of the electronic device executes To realize the above-mentioned method for adjusting chess strength.
  • FIG. 1A is a schematic diagram of the implementation flow of the chess power adjustment method provided by the embodiment of the present disclosure
  • FIG. 1B is a schematic diagram of a system architecture of a method for adjusting chess power provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic flow diagram of another realization of the method for adjusting chess power provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic flow diagram of another implementation of the method for adjusting chess power provided by an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of the implementation flow of the AI chess game balance strategy provided by the embodiment of the present disclosure
  • FIG. 5 is a schematic diagram of the implementation process of AI chess power adaptive evaluation provided by the embodiment of the present disclosure
  • FIG. 6 is a schematic diagram of the structure and composition of the chess power adjustment device provided by the embodiment of the present disclosure.
  • FIG. 7 is a schematic diagram of the composition and structure of an electronic device provided by an embodiment of the present disclosure.
  • first ⁇ second ⁇ third is only used to distinguish similar objects, and does not represent a specific ordering of objects. Understandably, “first ⁇ second ⁇ third” Where permitted, the specific order or sequencing may be interchanged such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein.
  • Artificial intelligence chess player refers to the robot chess player who plays against the participants as chess players in the process of online man-machine game.
  • the robot chess player uses artificial intelligence to write a certain level of chess power.
  • a chess player's chess strength refers to the chess player's ability to play chess, and a certain chess strength corresponds to a certain level.
  • the device provided by the embodiment of the present disclosure can be implemented as a notebook computer with data processing functions, a game robot, other online game chess platform, a tablet computer, a desktop Computers, mobile devices (eg, personal digital assistants, dedicated messaging devices, portable gaming devices) and other types of electronic devices.
  • the device provided by the embodiment of the present disclosure can be implemented as a notebook computer with data processing functions, a game robot, other online game chess platform, a tablet computer, a desktop Computers, mobile devices (eg, personal digital assistants, dedicated messaging devices, portable gaming devices) and other types of electronic devices.
  • Fig. 1A is a schematic diagram of the implementation flow of the chess power adjustment method provided by the embodiment of the present disclosure, as shown in Fig. 1A, and described in conjunction with the steps shown in Fig. 1A:
  • Step S101 acquiring the game data between the player and the smart chess player in the game to be adjusted.
  • the chess game to be adjusted may refer to the currently playing chess game, or any chess game.
  • the player can be a robot chess player or a natural person chess player.
  • a smart chess player can be a robot that uses artificial intelligence to write multiple levels of chess power, or any device that can interact with players.
  • the game data between the player and the intelligent chess player includes: the moves taken by the player at the current moment, and the moves taken by the player and the intelligent chess player at historical moments in the current chess game.
  • Step S102 in the game data, determine the difference in chess strength between the player's move and a preset move.
  • the preset chess moves can include at least one kind of chess moves; the preset chess moves can be various chess moves determined by intelligent chess players based on their own historical moves; for example, the chess moves of the player are The current chess move, then the intelligent chess player generates multiple recommended chess moves for the previous chess move based on the current chess move and the previous chess move of the intelligent chess player; the various recommended chess moves are the preset chess moves step.
  • the difference in chess strength between the player's chess moves and the preset chess moves can be the best chess moves between the player's chess moves and the at least one kind of chess moves
  • the disparity between also can be the disparity between the player's chess move and each chess step in this at least one kind of chess move, also can be the chess player's chess move and the worst chess move in this at least one kind of chess move
  • the gap between can also be the gap between the player's chess move and any chess step in this at least one kind of chess move.
  • the AI engine as an intelligent chess player obtains a variety of recommended moves for the game by obtaining the player's moves, so as to determine the player's moves and the strength of the recommended moves
  • the gap that is, the above step S102 can be realized through the following steps S121 to 124 (not shown):
  • Step S121 based on the historical moves of the intelligent chess player played by the chess moves of the player, determine at least one recommended historical move for the historical move.
  • the historical chess move is a chess move played by the player's chess move;
  • the chess move is the historical chess move.
  • the intelligent chess player is an AI engine. After outputting a chess move, the AI engine generates a variety of recommended chess moves for the chess move based on the chess moves output by itself, that is, at least one historical recommended chess move is obtained. .
  • Step S122 determining the at least one historical recommended move as the preset move.
  • the optimal historical recommended chess move in the at least one historical recommended chess move is used as the preset chess move, or the last historical recommended chess move in the at least one historical recommended chess move is used as the preset chess move.
  • the preset chess moves, or each historical recommended chess move in the at least one historical recommended chess move is used as a preset chess move.
  • the above steps S121 and 122 provide a way to determine the preset chess move.
  • the AI engine automatically generates a variety of recommended moves for the game based on the player's moves, and the recommended moves As a preset chess move, it can be accurately judged that there is a gap between the player's chess move and the preset chess move.
  • Step S123 determining the ranking of the player's chess moves in the at least one historically recommended chess move.
  • the AI engine after the AI engine generates multiple historically recommended moves, it first sorts the multiple historically recommended moves from high to low in terms of chess strength; then, determines the chess strength of the player's chess moves; finally, Determine the order of the chess strength of the player's chess moves among the sorted multiple historical recommended chess moves.
  • Step S124 based on the ranking of chess strength, determine the difference in chess strength between the player's chess move and the preset chess move.
  • the chess power ranking can indicate that the player's chess moves have priority among the multiple historically recommended moves; for example, if the chess power ranking is the first, it means that the chess player's chess power is very high, has completely surpassed multiple historical recommended moves in the preset chess moves; based on this, determine the chess strength gap between the player and the optimal chess move among the multiple historical recommended moves, which is the player's chess move and The difference in chess strength between the preset chess moves; if the chess strength ranking is the last one, it means that the chess strength of the player is relatively low.
  • the chess strength gap between the last chess move in the chess moves is used as the chess strength gap between the player's chess move and the preset chess move;
  • the chess strength gap between the superior chess moves is the chess strength gap between the player's chess moves and the preset chess moves.
  • steps S123 and 124 by determining the chess power ranking of the chess player's chess moves among the multiple historical recommended chess moves of the intelligent chess player, the chess strength between the chess player's chess moves and the historical recommended chess moves can be accurately judged Then it is convenient to adjust the chess moves of the intelligent chess player adaptively based on the difference in chess strength of each chess move of the player, so that the chess moves output by the intelligent chess player are equivalent to the chess moves of the player.
  • Step S103 based on the chess power gap and the chess game information of the game to be adjusted, determine the target chess power level of the intelligent chess player playing against the player.
  • the chess game information of the chess game to be adjusted includes: the game result of the chess game and the chess moves of the player and the intelligent chess player during the whole game of the game, and other data.
  • the intelligent chess player can adjust the chess strength of the chess move in time, so that the intelligent chess player can output slightly higher than the player's chess strength Chess moves.
  • the overall adjustment of the chess power of the intelligent chess player against the player is carried out, so as to determine the target chess power level of the intelligent chess player against the player.
  • the chess strength of the intelligent chess player against the player's chess moves can be adjusted in time;
  • the chess power gap is combined with the chess game information of the entire chess game to be adjusted to adjust the chess power level of the smart chess player as a whole; in this way, dynamically adjusting the chess power of the smart chess player according to the chess moves of the players can make the chess game reach a state of balance between victory and defeat. Improve chess player experience.
  • FIG. 1B is a schematic diagram of a system architecture of a chess power adjustment method provided by an embodiment of the present disclosure; as shown in FIG. 1B , the system architecture includes: a data acquisition terminal 11 , a network 12 and a chess power adjustment terminal 13 .
  • the data acquisition terminal 11 and the chess power adjustment terminal 13 establish a communication connection through the network 12, and the data acquisition terminal 11 reports the obtained game data to the chess power adjustment terminal 13 through the network 12; , determine the chess power gap between the player's chess move and the preset chess move; and determine the target chess power level of the intelligent chess player against the player based on the chess power gap and the game information of the game to be adjusted.
  • the chess power adjustment terminal 13 uploads the target chess power level to the network 12 and sends it to the data acquisition terminal 11 through the network 12 .
  • the data acquisition terminal 11 may include an image acquisition device, and the chess skill adjustment terminal 13 may include a visual processing device or a remote server capable of processing visual information.
  • the network 12 can be wired or wirelessly connected.
  • the data acquisition terminal 11 can communicate with the visual processing device by a wired connection, for example, carry out data communication through a bus;
  • the chess power adjustment terminal 13 is a remote server, the data acquisition terminal 11 It can exchange data with the remote server through the wireless network.
  • the data acquisition terminal 11 may be a visual processing device with a video collection module, or a host computer with a camera.
  • the visual positioning method of the embodiment of the present disclosure may be executed by the data acquisition terminal 11 , and the above-mentioned system architecture may not include the network 12 and chess skill adjustment terminal 13 .
  • the target chess power level is used to initialize the intelligent chess player in the next chess game, that is, in the next chess game, based on the target chess power level, dynamically adjust The chess move of intelligent chess player;
  • Promptly after step S103 also comprise the following steps:
  • the first step in the next game of the game to be adjusted, it is detected whether the player in the next game is the player in the game to be adjusted.
  • next chess game starts, at first, judge whether the player in the game is the same player as the player to be adjusted; for example, determine whether they are the same player by analyzing whether the account number of the player is the same account; Or through face recognition, determine whether it is the same chess player. Then, based on the judgment result, it is determined which level of chess skill to use to initialize the intelligent chess player.
  • the target chess level is used as the initial level of the next game.
  • the target chess power level determined in the chess game to be adjusted is used as the initial chess power level of the intelligent chess player in the next chess game. In this way, when the players are the same chess player, by using the adjusted target chess power level in the previous game as the initial chess power level of the next game, a better game experience can be provided for the players.
  • the target chess power level of the smart chess player in the whole chess game is determined, that is, the above step S103 can be realized by the steps shown in Figure 2, Figure 2
  • Figure 2 It is a schematic flow diagram of another implementation flow of the chess power adjustment method provided by the embodiment of the present disclosure, and the following description is made in conjunction with FIG. 2:
  • Step S201 based on the player's move, determine at least one future recommended move for playing the player's move.
  • the intelligent chess player reads the player's move on the chessboard, and based on the move, generates multiple recommended moves for the game, that is, at least one future recommended move.
  • Step S202 based on the difference in chess strength, determine a game move in which the intelligent chess player plays against the player in the at least one future recommended move.
  • a move with comparable strength to the player is selected from at least one future recommended move as a rival move. For example, if the difference in chess strength indicates that the player's chess move is much worse than the worst chess move in the historical recommended moves, then the worst chess move in the at least one future recommended chess move is used as the opponent's chess move. Or, if the difference in chess strength shows that the player's move is much higher than the optimal move in the historical recommended moves, then the best move in at least one future recommended move is used as the opponent's move.
  • the current chess step needs to be higher or lower than the player's chess strength by analyzing the previous chess moves and the result of the game between the player and the intelligent chess player. For example, in a chess game, the chess strength of the intelligent chess player is higher than that of the player for five consecutive steps, so in order to improve the player's interest in playing games, in the sixth step, the chess strength of the intelligent chess player is appropriately reduced to make the chess player The player's chess strength is higher than that of the intelligent chess player.
  • Step S203 based on each pair of chess moves in the chess game to be adjusted and the chess game information, determine the target chess skill level of the intelligent chess player playing against the player.
  • each pair of chess moves and chess game information in the game to be adjusted it can be determined whether the chess strength of each pair of chess moves is higher than that of the player, thereby adjusting the current chess strength level of the intelligent chess player as a whole, To make the intelligent chess player reach the target chess level.
  • the difference in chess strength indicates that the chess move of the player is much worse than the worst chess move in the historical recommended moves
  • the least powerful chess move in the at least one future recommended chess move is used as the chess move in the game, and combined with
  • the chess information of the whole chess game can appropriately reduce the chess power level of the intelligent chess player. If the difference in chess strength shows that the player's move is much higher than the optimal move in the historical recommended moves, then the best move in at least one future recommended move is used as the game move, and the whole game is combined
  • the information of the chess game can be used to appropriately increase the chess level of the intelligent chess player.
  • the chess strength of the intelligent chess player is adjusted as a whole to reach the target chess strength level, and then The level of chess ability of the intelligent chess player is slightly higher than that of the player, which can increase the player's interest in playing games.
  • the current initial level of chess strength of the intelligent chess player is evaluated through the moves of the intelligent chess player in the entire chess game, and the game result is combined with the information of the chess game to adjust the chess strength of the intelligent chess player in the chess game. That is, the above step S203 can be realized through the following steps S231 and 232 (not shown in the figure):
  • Step S231 based on each pair of chess moves, determine the initial chess strength level of the intelligent chess player in the chess game to be adjusted.
  • the current chess strength level of the intelligent chess player in the chess game is determined, that is, the initial chess strength level.
  • Step S232 based on the game result of the chess game to be adjusted and the chess game information, adjust the initial chess skill level to obtain a target chess skill level for the intelligent chess player to play against the player.
  • the game result of the game to be adjusted is acquired.
  • the chess power coefficient of the intelligent chess player as a whole, that is, adjust the initial chess power level, to achieve a target level of chess power that is slightly higher than the player's level of chess power.
  • the chess level of the intelligent chess player can be adjusted as a whole through the following steps, so that the intelligent chess player can reach the target chess level:
  • the first step is to determine the difference in chess strength between each chess move of the player and the preset chess move based on the chess game information, and obtain a set of chess strength gaps.
  • the chess game information includes each chess move in the chess game to be adjusted, firstly, each chess move of the player in the chess game information and multiple historical recommendations of the intelligent chess player corresponding to the chess move can be obtained. chess moves; then, determine the chess strength gap between each chess move of the player and the optimal chess move in multiple historical recommended moves, and obtain the chess strength gap set.
  • the second step is to determine the player's chess skill level based on the set of chess skill gaps.
  • the chess strength level of the player in the chess game can be determined as a whole, that is, the chess strength level of the opponent.
  • the third step is to adjust the initial chess skill level based on the game result and the game skill level to obtain a target chess skill level for the intelligent chess player to play against the player.
  • the adjustment amount that needs to be adjusted to the initial chess power level can be determined, so that the intelligent chess player's chess power level reaches Target chess skill level.
  • the player's level of chess power can be determined; and based on the game result of the game and the player's level of chess power, a more reasonable intelligence can be set.
  • the target level of chess strength is determined.
  • the initial chess power level of the smart chess player can be quantitatively adjusted, that is, the third step above can be achieved through the following process:
  • the difference between the initial chess skill level and the playing chess skill level is determined.
  • the difference between the chess skill level and the intelligent chess player's initial chess skill level in the current game can be further determined, that is, the difference between the two chess skill levels. It may be that at the end of the chess game, determine the player's chess skill level and the difference; it may also be when the chess game is halfway through, determine the player's chess skill level and the difference.
  • the initial chess skill level is adjusted to obtain the target chess skill level.
  • the difference is used to set the adjustment amount, and the initial chess level is adjusted up or down according to the result of the game, so that the intelligent chess player reaches the target chess level.
  • the level of chess power of the intelligent chess player can be adjusted more accurately as a whole, so that the intelligent chess player is on par with the players.
  • the level of chess power of the intelligent chess player is adjusted as a whole through the results of the game, so that the winning rate of multiple games is balanced, for example:
  • the initial chess skill level is increased to obtain the target chess skill level.
  • a first adjustment amount is set, and the initial chess level is increased based on the first adjustment amount, so that the level of chess ability of the intelligent chess player is greater than that of the player. Chess level. If the result of two consecutive games is that the player wins, then the first adjustment amount is set to a larger value, so that the intelligent chess player wins the player steadily in the third game, so as to stimulate the player's interest in playing games.
  • a second adjustment amount is set, and the initial chess level is slightly increased based on the second adjustment amount, so that the level of the intelligent chess player is slightly greater than that of the player.
  • the second adjustment amount is smaller than the first adjustment amount.
  • the initial chess skill level is reduced to obtain the target chess skill level.
  • a third adjustment amount is set, and the initial level of chess power is reduced based on the third adjustment amount, so that the level of chess power of the intelligent chess player is slightly greater than that of the player. Chess level. If the result of the two consecutive games is that the intelligent chess player wins, then the third adjustment amount is set to a larger value, that is, the intelligent chess player's level of chess power is reduced to a lower level, so that in the third game The player of the game wins, so as to arouse the interest of the player in the game.
  • the level of chess power of the intelligent chess player is adjusted as a whole, so that in multiple games, the winning rate of the player and the intelligent chess player can be balanced; thereby improving The player's gaming experience.
  • the situation of online human-machine chess game is a preset robot chess skill level.
  • levels such as elementary/intermediate/advanced.
  • the method of setting chess skill levels in related technologies belongs to a mechanical setting mode for user experience, and users need to experience repeatedly to reach their own suitable chess skill level; in this way, users can only mechanically follow the system settings.
  • the level of chess skills should not be too high or not too low; in the process of man-machine games, the most important game game that can be played continuously is that the two sides are evenly matched. The winning rate of both sides of the game is balanced, and the situation of meeting the opponent is a better experience for the user.
  • the embodiment of the present disclosure provides a method for adjusting chess strength, which realizes that the participants and the AI engine (corresponding to the intelligent chess player in the above-mentioned embodiments) can easily and equally play chess; and automatically realize the automatic evaluation of the chess strength of the participants, automatically Adapt to and adjust the chess pieces of the AI engine; in this way, the overall evaluation of the outcome of the overall chess game between the participants and the AI engine can achieve a state of balance between victory and defeat.
  • FIG. 3 is a schematic flow diagram of another implementation process of the chess power adjustment method provided by the embodiment of the present disclosure. The following description will be made in conjunction with FIG. 3 :
  • the first step is to obtain the chess situation/game information 303 of both players on the game front end 301 and the AI chess engine 302 respectively.
  • the chess situation/game information 303 of both players includes the game data between the player and the intelligent chess player.
  • the second step is to input the acquired chess situation/game information 303 of both sides into the AI chess power adaptive evaluation module 304 and the AI chess game balance strategy module 305 .
  • the third step is to adjust the chess power of the AI engine 306 in real time based on the chess situation and game information of the two sides through the AI chess power self-adaptive evaluation module 304; through the AI chess game balance strategy module 305, the overall adjustment is based on the chess situation and the game information of the two sides AI chess skill level 307.
  • the fourth step is to execute the new chess strategy 308 based on the real-time adjusted AI engine chess strength and the overall adjusted AI engine chess strength level; and input the executed new chess strategy into the game front end 301 and AI chess engine 302 in the first step .
  • Figure 4 is a schematic diagram of the implementation process of the AI chess game balance strategy provided by the embodiment of the present disclosure, combined with the steps shown in Figure 4 Make the following instructions:
  • step S401 the chess game starts.
  • step S402 an interactive game is played in the opening game.
  • step S41 is performed to adjust the chess power of the AI engine in real time; so that the chess power of the AI engine is equal to that of the player.
  • Step S403 if the chess game is over, obtain the game result of the chess game.
  • step S411 if the result of the game game is that the AI engine wins, go to step S411, if the result of the game game is a draw, go to step S421, and if the result of the game game is that the AI engine loses, go to step S431.
  • Step S411 if the AI engine wins, determine the AI chess power adjustment coefficient.
  • Step S412 down-regulating the AI chess power adjustment coefficient.
  • step S412 After step S412 lowers the AI chess power adjustment coefficient, enter step S404.
  • Step S421 if the game is tied, determine the AI chess power adjustment coefficient.
  • the AI chess power adjustment coefficient is determined so as to appropriately increase the AI chess power coefficient.
  • Step S422 fine-tuning the AI chess power coefficient.
  • step S422 After step S422 increases the AI chess power adjustment coefficient, enter step S404.
  • Step S431 if the AI engine loses, determine the AI chess power adjustment coefficient
  • the AI chess power adjustment coefficient is determined so as to appropriately increase the AI chess power coefficient.
  • Step S432 greatly increasing the AI chess power coefficient.
  • step S432 After step S432 increases the AI chess power adjustment coefficient, enter step S404.
  • Step S404 recommending the adjusted AI chess power coefficient to the next chess power coefficient.
  • Step S405 when playing the next game, initialize the chess force coefficient.
  • the initialized chess power coefficient is fed back to step S402 for the players to play interactively in the next game.
  • the implementation process of the AI chess power adaptive evaluation module 304 is shown in Figure 5, which is a schematic diagram of the implementation process of the AI chess power adaptive evaluation provided by the embodiment of the present disclosure, and the following description is made in conjunction with the steps shown in Figure 5:
  • Step S501 obtain the current chess game.
  • Step S502 in the current chess game, obtain manual chess move data.
  • send the artificial chess move data to the AI engine, and enter step S531.
  • Step S503 sending the current chess game to the AI engine.
  • Step S504 obtaining the current chess move recommended by the AI engine.
  • step S501 to step S504 is realized in the manual move stage 51 .
  • Step S505 storing the chess moves played manually and the chess moves recommended by the AI engine.
  • Step S506 comparing the manual moves with the recommended moves in the AI engine.
  • Step S507 based on the comparison result, determine the ranking of the manual moves among the chess moves recommended by the AI engine.
  • Step S508 based on the ranking, determine the level of difference between the manual moves and the moves recommended by the AI engine.
  • the gap level represents the gap level between the manual move and the optimal move recommended by the AI engine.
  • Step S509 in the chess game, record the gap level corresponding to each manual move.
  • Step S510 based on the gap level corresponding to each manual move, determine the game level of all moves in the current chess game.
  • Step S511 based on the game levels of all the moves, determine the range of the gap level.
  • Step S512 based on the range of the difference level, determine the chess skill level of the player.
  • step S505 to step S512 is realized in the stage 52 of assessing the player's chess skill level.
  • Step S531 sending the artificial chess moves in step S502 to the AI engine for AI chess moves.
  • Step S532 the AI engine obtains the ranking of recommended moves.
  • Step S533 based on the difference level determined in step S509, determine the target move among various recommended moves.
  • step S534 the AI engine outputs reasonable moves for the game against artificial moves.
  • the player's chess skill level of each step is dynamically and automatically judged according to the player's moves, and the winning rate balance is dynamically adjusted through multiple games, which can improve the user experience of online chess.
  • FIG. 6 is a schematic diagram of the structural composition of the device for adjusting chess power provided by an embodiment of the present disclosure. As shown in FIG. 6 , the device for adjusting chess power 600 includes:
  • the first obtaining module 601 is configured to obtain the game data between the player and the intelligent chess player in the chess game to be adjusted;
  • the first determination module 602 is configured to determine the difference in chess strength between the player's chess move and the preset chess move in the game data;
  • the second determination module 603 is configured to determine the target chess strength level of the intelligent chess player against the player based on the chess strength gap and the chess game information of the game to be adjusted.
  • the device also includes:
  • the third determination module is configured to determine at least one recommended historical move of the historical move of the game based on the historical move of the intelligent chess player played by the chess move of the player;
  • the fourth determination module is configured to determine the at least one historical recommended move as the preset move.
  • the first determining module 602 includes
  • the first determining sub-module is configured to determine the ranking of the player's chess moves in the at least one historically recommended chess move;
  • the second determination sub-module is configured to determine the difference in chess strength between the player's chess move and the preset chess move based on the chess strength ranking.
  • the second determination module 603 includes:
  • the third determining submodule is configured to determine at least one future recommended move for playing the player's move based on the player's move;
  • the fourth determination sub-module is configured to determine, in the at least one future recommended move, the intelligent chess player's chess move against the player's chess move based on the chess strength gap;
  • the fifth determination sub-module is configured to determine the target chess strength level of the intelligent chess player against the player based on each pair of chess moves in the chess game to be adjusted and the chess game information.
  • the fifth determining submodule includes:
  • the first determination unit is configured to determine the initial level of chess strength of the intelligent chess player in the chess game to be adjusted based on each pair of chess moves;
  • the first adjustment unit is configured to adjust the initial chess skill level based on the game result of the chess game to be adjusted and the chess game information, so as to obtain a target chess skill level for the intelligent chess player to play against the player.
  • the first adjustment unit includes:
  • the first determining subunit is configured to determine the difference in chess strength between each chess move of the player and the preset chess move based on the chess game information, and obtain a set of chess strength gaps;
  • the second determining subunit is configured to determine the player's chess skill level based on the chess skill gap set;
  • the first adjustment subunit is configured to adjust the initial chess skill level based on the game result and the game skill level to obtain a target chess skill level for the intelligent chess player to play against the player.
  • the first adjustment subunit is further configured to: determine the difference between the initial chess skill level and the game chess skill level; based on the game result and the difference, adjust the The initial chess level is adjusted to obtain the target chess level.
  • the first adjustment subunit is further configured to: increase the initial chess skill level based on the difference when the result of the game is that the player wins or the game draws, Obtaining the target chess power level; or, in the case that the intelligent chess player wins as a result of the game, reducing the initial chess power level based on the difference to obtain the target chess power level.
  • the device also includes:
  • the first detection module is configured to, in the next game of the game to be adjusted, detect whether the player in the next game is the player in the game to be adjusted;
  • the fifth determination module is configured to use the target chess power level as the initial chess power level of the next chess game in response to the player in the next game being the player in the game to be adjusted.
  • the above-mentioned chess power adjustment method is implemented in the form of software function modules and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
  • the computer software products are stored in a storage medium, including several instructions for Make an electronic device (which may be a terminal, a server, etc.) execute all or part of the methods described in various embodiments of the present disclosure.
  • the aforementioned storage media include: various media that can store program codes such as U disk, sports hard disk, read-only memory (Read Only Memory, ROM), magnetic disk or optical disk.
  • embodiments of the present disclosure are not limited to any specific combination of hardware and software.
  • the embodiments of the present disclosure further provide a computer program product, the computer program product includes computer executable instructions, and after the computer executable instructions are executed, the steps in the method for adjusting chess power provided by the embodiments of the present disclosure can be implemented.
  • an embodiment of the present disclosure further provides a computer storage medium, on which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the method for adjusting chess power provided by the above-mentioned embodiments is implemented. step.
  • FIG. 7 is a schematic structural diagram of the electronic device provided by an embodiment of the present disclosure.
  • the electronic device 700 includes: a processor 701, at least one communication bus, communication interface 702, at least one external communication interface and memory 703.
  • the communication interface 702 is configured to realize connection and communication between these components.
  • the communication interface 702 may include a display screen, and the external communication interface may include a standard wired interface and a wireless interface.
  • the processor 701 is configured to execute the image processing program in the memory, so as to realize the steps of the method for adjusting chess strength provided by the above-mentioned embodiments.
  • the disclosed devices and methods may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division.
  • the coupling, or direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical or other forms of.
  • the units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed to multiple network units; Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may be used as a single unit, or two or more units may be integrated into one unit; the above-mentioned integration
  • the unit can be realized in the form of hardware or in the form of hardware plus software functional unit.
  • the above-mentioned integrated units of the present disclosure are realized in the form of software function modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.
  • the computer software products are stored in a storage medium, including several instructions for Make an electronic device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the methods described in various embodiments of the present disclosure.
  • the aforementioned storage medium includes various media capable of storing program codes such as removable storage devices, ROMs, magnetic disks or optical disks.
  • Embodiments of the present disclosure provide a chess power adjustment method, device, equipment, storage medium and program, wherein, the game data between the player and the intelligent chess player in the chess game to be adjusted is obtained; in the game data, the game is determined The difference in chess strength between the player's chess move and the preset chess move; based on the chess strength difference and the chess game information of the chess game to be adjusted, determine the target chess strength level of the intelligent chess player playing against the player.

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Abstract

L'invention concerne un procédé et un appareil d'ajustement d'une puissance aux échecs, un dispositif, un support de stockage et un programme. Le procédé consiste à : obtenir des données de jeu aux échecs entre un joueur et un joueur d'échecs intelligent dans un jeu d'échecs à ajuster (S101) ; dans les données de jeu aux échecs, déterminer une différence de puissance aux échecs entre un coup d'échecs du joueur et un coup d'échecs prédéfini (S102) ; et, sur la base de la différence de puissance aux échecs et des informations de jeu d'échecs dudit jeu d'échecs, déterminer un niveau de puissance aux échecs cible du joueur d'échecs intelligent par rapport au joueur (S103).
PCT/CN2021/123480 2021-06-30 2021-10-13 Procédé et appareil d'ajustement d'une puissance aux échecs, dispositif, support de stockage et programme WO2023273009A1 (fr)

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