An Ontology-based Fuzzy Inference System for Computer Go Applications

Chang-Shing Lee*, Mei-Hui Wang, Shi-Jim Yen, Yu-Jen Chen, Cheng-Wei Chou, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Hassen Doghmen

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Web of Science)

    Abstract

    In order to stimulate the development and research in computer Go, several Taiwanese Go players were invited to play against some famous computer Go programs. Those competitions revealed that the ontology model for Go game might resolve problems happened in the competitions. Therefore, this paper presents a Go game record ontology and Go board ontology schemes. An ontology-based fuzzy inference system is also developed to provide the regional alarm level for a Go beginner or a computer Go program in order to place the stone at the much more appropriate position. Experimental results indicate that the proposed approach is feasible for computer Go application. Hopefully, advances in the intelligent agent and the ontology model can provide a significant amount of knowledge to make a progress in computer Go program and achieve as much as computer chess or Chinese chess in the future.

    Original languageEnglish
    Pages (from-to)103-115
    Number of pages13
    JournalInternational Journal of Fuzzy Systems
    Volume12
    Issue number2
    DOIs
    Publication statusPublished - Jun 2010

    Keywords

    • Computer Go
    • Fuzzy Inference
    • Knowledge Management
    • Ontology
    • KNOWLEDGE MANAGEMENT
    • SEMANTIC WEB

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