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http://dx.doi.org/10.7583/JKGS.2021.21.6.31

Prototypical Eye Shape Classification to Solve Life-and-Death Problem in Go, using Monte-Carlo Method and Point Pattern Matching  

Lee, Byung-Doo (School of Artificial Intelligence, Yong In University)
Publication Information
Journal of Korea Game Society / v.21, no.6, 2021 , pp. 31-40 More about this Journal
Abstract
Go has a history of more than 2,500 years, and the life-and-death problems in Go is a fundamental problem domain that must be solved when implementing a computer Go. We attempted to determine the numbers of prototypical eye shapes with 3, 4, 5, and 6 eyes that are directly related to the life-and-death problems, and to classify the prototypical eye shapes represented in 4-tuple forms. Experiment was conducted by Monte-Carlo method and point pattern matching. According to the experimental results, the numbers of prototypical eye shapes were 2 for 3-eye, 5 for 4-eye, 12 for 5-eye, and 35 for 6-eye shapes. Further, using a 4-tuple form, we classified prototypical eye shapes into 1 for 3-eye, 3 for 4-eye, 4 for 5-eye, and 8 for 6-eye shapes.
Keywords
Go; life-and-death problem; prototypical eye shape; Monte-Carlo method; point pattern matching;
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