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Fuzzy Ontologies for the Game of Go

Chang-Shing Lee 1 Mei-Hui Wang 2 Olivier Teytaud 3, 4
1 OASE
Institute of CSIE - Institute of Computer Science and Information Engineering [Taiwan]
3 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : Abstract This chapter presents a developed fuzzy ontology model for computer Go applica- tions. Unlike previous research, this chapter employs features derived from professional Go players' domain knowledge to transform them into the opening book sequence and to repre- sent them by a fuzzy ontology for the game of Go. Afterward, the domain experts validate the built fuzzy ontology. The developed fuzzy ontology has been verified through the invited games for Go programs playing against human Go players. The results show that the fuzzy ontology can work for computer Go application.
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https://hal.inria.fr/hal-00758147
Contributor : Olivier Teytaud <>
Submitted on : Wednesday, November 28, 2012 - 11:10:28 AM
Last modification on : Thursday, June 17, 2021 - 3:49:47 AM

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Chang-Shing Lee, Mei-Hui Wang, Olivier Teytaud. Fuzzy Ontologies for the Game of Go. R. Seising, E. Trillas, C. Moraga, S. Termini. On Fuzziness. A Homage to Lotfi A. Zadeh, Springer, pp.367-372, 2012. ⟨hal-00758147⟩

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