The application of neuro-fuzzy reasoning to the opening game of 19 × 19 GO

Byung Doo Lee*, Hans Werner Guesgen, Jacky Baltes, Soo Hyun Jeong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the result of applying neuro-fuzzy reasoning, which conducts Go term knowledge based on pattern knowledge, to the opening game of Go. We discuss the implementation of neuro-fuzzy reasoning for deciding the best next move to proceed through the opening game. We also let neuro-fuzzy reasoning play against TD(λ) learning to test the performance. The experimental result reveals that simple neuro-fuzzy reasoning performs considerably better than TD learning and it shows great potential to be applied to the real game of Go.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
EditorsM.H. Hamza
Pages57-62
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics - Innsbruck, Austria
Duration: 2004 Feb 162004 Feb 18

Publication series

NameProceedings of the IASTED International Conference. Applied Informatics

Other

OtherProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics
Country/TerritoryAustria
CityInnsbruck
Period2004/02/162004/02/18

Keywords

  • Computer Go
  • Distance Transform
  • Neural Network
  • Neuro-Fuzzy Reasoning
  • Temporal Difference Learning

ASJC Scopus subject areas

  • General Engineering

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