中国象棋对弈系统设计与实现-河北大学本科生毕业论文.doc

The Chinese Chess game system is a significant part of the cultural heritage of the Chinese nation, with a long history and a wide base of players. Human-computer chess games are a classic topic in artificial intelligence research. With well-designed algorithms and the fast computing capabilities of computers, the computer can demonstrate a high level of "intelligence" in human-computer chess games. The Chinese chess program consists mainly of artificial intelligence and interface design. Artificial intelligence reflects the computer's thought process in chess, determining how the computer thinks and completes the next best move by searching through appropriate search algorithms and evaluating various possible moves to select the one with the highest probability of success. The interface section enables users to adjust their chess strategy by reviewing previous moves. Move displays allow users to understand the chess process clearly and grasp the overall situation more accurately. This paper provides an overview of computer chess games, particularly the Chinese chess software landscape, and analyzes the problems in existing Chinese chess game software implementation methods. It designs methods for representing the chessboard, pieces, and evaluation functions, and implements α-β pruning search based on game theory using recursive methods. Additionally, the paper applies VC and MFC to design and implement the game interface. The result is a Chinese Chess human-computer game program with a certain level of chess skills. This project significantly contributes to the development of Chinese Chess game software and the study of human-computer chess games. Keywords: Human-computer chess games, Chinese Chess, Game tree, VC.