一种改进的基于博弈树模型的五子棋系统

通过对五子棋算法的研究，本文探讨了知识抽象、知识表示、估价函数、博弈树及搜索策略等人工智能领域的问题，并基于博弈树模型设计了一个智能五子棋系统。该系统采用多链表结构的知识表示方法记录棋局信息，可以全面地描述和分析棋局形势。最后，结合局部性原理，采取增量分析法、α-β剪枝及低层剪枝等手段加速分析和搜索效率，提高了该系统的反应速度和智能化程度。

An Improved Gobang System Based on Game-Playing Tree

By analyzing knowledge abstraction,knowledge representation,evaluation function,game-playing tree and search strategy in the field of artificial intelligence,an improved gobang system based on game-playing tree is designed.Using multi-list structure to record the chess game information,the gobang system can fully describe and analyze chess game situation.Finally,with the locality principle,the incremental analysis,α-β pruning and lower level pruning are used to improve the system’s response speed and intelligence.