This paper intends to provide an analytical overview of the research performed in the domain of computer Go. Domain knowledge that is essential to Go-playing programs is identified. Various computation and search techniques that can be used effectively to obtain helpful domain knowledge are presented. Four different move-decision paradigms applied by today's leading Go programs are discussed. Conclusions are drawn and two proposals of improvements to current move-decision paradigms are presented.
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