Selective Search in an Amazons Program

Throughout at least the first two thirds of an Amazons game the number of legal moves is so great that doing a full width search is impractical. This means we must resort to some sort of selective search and in this paper we study a number of algorithms to perform forward pruning. In particular we d...

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Hauptverfasser: Avetisyan, Henry, Lorentz, Richard J.
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description Throughout at least the first two thirds of an Amazons game the number of legal moves is so great that doing a full width search is impractical. This means we must resort to some sort of selective search and in this paper we study a number of algorithms to perform forward pruning. In particular we describe techniques for selecting from the set of all legal moves a small subset of moves for look-ahead evaluation, eliminating all other moves from consideration. We then study the effects of these techniques experimentally and show which have the most potential for producing the best Amazons-playing program.
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1611-3349
language eng
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source Springer Books
subjects Applied sciences
Artificial intelligence
Board Position
Candidate List
Computer science
control theory
systems
Evaluation Function
Exact sciences and technology
Good Move
Legal Move
Pattern recognition. Digital image processing. Computational geometry
Software
Speech and sound recognition and synthesis. Linguistics
title Selective Search in an Amazons Program
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