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This paper presents a developed ontology-based intelligent agent in Monte-Carlo Tree Search (MCTS) for the computer Go application. Unlike previous research, this paper employs features derived from professional Go players' domain knowledge to transform them into the opening-book sequence and represent them by a computer Go ontology. Afterward, the domain experts validate the built ontology. The developed...
In this paper, an Fuzzy Markup Language (FML)-based type-2 fuzzy ontology is proposed to represent the computer Go knowledge, including an FML transformation mechanism, a type-2 fuzzy set construction, and a type-2 fuzzy set inference mechanism. The FML transformation mechanism transforms the generated smart game format (SGF) files into an FML-based document to describe the computer Go ontology. The...
In order to stimulate the development and research in computer Go, several Taiwanese Go players, including three professional Go players and four amateur Go players, were invited to play against the famous computer Go program, MoGo, in the Taiwan Open 2009. The MoGo program combines the online game values, offline values extracted from databases, and expert rules defined by Go expert that shows an...
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