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Evaluation of Strings in Computer Go Using Articulation Points Check and Seki Judgment

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

The purpose of this paper is to judge life and death in computer Go using Articulation Point Check(APC), Seki judgment and rules. To make static analysis possible, the researchers define a String Graph (SG) and judge the life and death of the strings using the rules. To judge the life and death of the strings, the researchers will adopt the APC Rule because it will judge life and death according to the numbers of the junctures. The researchers also suggest that Seki Rules be applied to judge Seki. By excluding Stones and using a String Graph (SG), the researchers postulate the use of SR (String Reduction), ER (Empty Reduction), ET (Edge Transformation) Rules, or CG (Circular Graph) in judging life and death. In addition, the DESR (Dead Enemy Strings Reduction) Rule was used when the dead enemy Stones were involved. Moreover, the SCSR (Same Color String Reduction) Rule was used when the dead enemy and Stones were empty and abridged. If our forces were involved in, the researchers abridged the String Graph by using SCSR (Same Color String Reduction) Rule and judged whether it was ASG(Alive String Graph) or not. The data that were used in the experiment were 31 IGS counted items among the Computer Go Test Collection composed of 11,191 points and 1,123 strings. The division of points and strings yielded 100% accuracy.

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© 2005 Springer-Verlag Berlin Heidelberg

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Park, HS., Kang, KW. (2005). Evaluation of Strings in Computer Go Using Articulation Points Check and Seki Judgment. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_22

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  • DOI: https://doi.org/10.1007/11589990_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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