Abstract
Computer chess, some years ago, was central to AI research. Today, most of the AI community looks upon computer chess as a misguided child, engaging in activities of dubious scientific value. The present article argues that this common view is incorrect. Computer-chess research represents excellent empirical science and provides a useful model for the AI community. Two decades of computer-chess competition have demonstrated that, for some applications, memory-based reasoning may be superior to a serial reasoning process based on deductive logic.
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