Chinese chess is an artificial intelligence (AI) domain that merges ancient culture with emerging technology. This article explores key aspects of current Chinese chess technology, including move generation, evaluation functions, and search techniques in the search engine, as well as developments in the opening knowledge base and endgame databases. We also examine parallelization techniques, which are essential for improving computational efficiency and performance. Inspired by AlphaZero's achievements in reinforcement learning, this article also explores its key concepts and impact on AI techniques. It further highlights the field's development and the notable performance of computer Chinese chess in international competitions, particularly in human versus computer matches and global tournaments. The article concludes with a discussion of future trends in computer Chinese chess technology.
Chen et al. (Thu,) studied this question.
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