Affiliation:
1. Department of Computer Science, University of North Carolina, Charlotte, NC 28223, USA
Abstract
We study connectivity of stones on a Go Board, including influence and heuristics-based soft connectivity and pattern- and search-based hard connectivity. Stone connectivity provides a Go program with an understanding of a fundamental aspect of board configurations. It is essential in positional evaluation, candidate move generation, and move selection.
Publisher
World Scientific Pub Co Pte Lt
Subject
Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Computer Science Applications,Human-Computer Interaction
Reference4 articles.
1. K. Chen, Heuristic Programming in Artificial Intelligence, eds. D. Levy and D. Beal (Ellis Horwood, 1989) pp. 195–210.
2. COMPUTER GO: KNOWLEDGE, SEARCH, AND MOVE DECISION2
3. Search for transitive connections
4. Proof-number search
Cited by
1 articles.
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1. Monte-Carlo Tree Search and Computer Go;Advances in Information and Intelligent Systems;2009