Method for generating Gomoku playing data

Abstract

The invention relates to a method for generating Gomoku playing data. The method comprises the following steps of setting a Gomoku forbidden rule and the size of a Gomoku chessboard; selecting AI which ranks top R in an existing Gomoku AI game, and setting the performance of the AI; designating different opening games; under the designated opening games, using the selected Gomoku AI to play Gomokuto generate the Gomoku playing data. According to the method for generating the Gomoku playing data, different AI with the high Gomoku playing ability in a Gomoku AI game is adopted, different high-level Gomoku AI plays Gomoku to generate the Gomoku playing data, and the quality and diversity of the Gomoku playing data in the later period can be improved. According to the method for generating the Gomoku playing data, different opening games are designated, a random method is adopted to improve the diversity of the opening games, and the diversity of the Gomoku playing data generated by the AI can be improved. Gomoku playing data of the chessboards with different sizes can be generated, and the generated Gomoku playing data can be increased according to requirements. The generated Gomokuplaying data can be used for training to obtain an effective neural network.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method for generating backgammon game data. Background technique [0002] Backgammon is a decision-making board game. The size of the board is generally 15×15 or 19×19 intersections, and the players are divided into black and white. The black and white sides take turns to place pieces on the board, and the first side to get 5 pieces in a row wins. The rules of backgammon can be divided into forbidden hands and non-banned hands, and the opening methods can be divided into swap, pro, soosyrv, etc. The purpose of setting forbidden hands and opening methods is to make the black and white sides more balanced. [0003] Gobang AI (Artificial Intelligence, artificial intelligence) commonly used algorithms include maximin algorithm and alpha-beta pruning. However, due to limited time and huge search space, Gobang AI's chess strength has not yet surpassed professio...

AI Technical Summary

Problems solved by technology

The amount of data that is too small will cause the neural network to be prone to overfitting

In addition, the data ratio of the RenjuNet database is too concentrated in the middle of the game

Although this solution uses a violent search method to complete the data, which can increase the amount of data in the last few moves of each game, the move strategy used is too simple to fully restore the thinking of professional players, resulting in only 15,647 rounds of chess being completed. 7119 innings

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