Knowledge Acquisition from Game Records
نویسندگان
چکیده
A large amount of knowledge is considered very useful for systems playing such games as Go and Shogi (Japanese chess) which has a much larger search space than chess. Knowledge acquisition is therefore necessary for systems playing these games. This paper explains two approaches to acquire Go knowledge from game records: a deductive approach and an evolutionary one. The former is taken to acquire strict knowledge; several rules are acquired from a single training example. The latter is taken to acquire a large amount of heuristic knowledge from a large amount of training examples. TsumeGo problems are solved in order to compare the performance of the algorithm with others.
منابع مشابه
Flexible Acquisition of Various Types of Knowledge from Game Records: Application to the game of Go
A large amount of knowledge is considered very useful for systems playing games such as Go and Shogi (Japanese chess), for which the search space larger than that for chess. Knowledge acquisition is therefore necessary for systems playing these games. This paper introduces a new exible algorithm which acquires various types of knowledge from game records. This algorithm is especially applicable...
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