Complex pattern recognition and evaluation : a knowledge-based approach to computer chess

Complex pattern recognition and evaluation : a knowledge-based approach to computer chess

This thesis describes how existing knowledge of certain positional features of a chess game can be implemented in a parallel evaluation function using the SIMD model. Since SMID machines are very efficient in pattern matching, it is possible to examine thousands of feature patterns associated with c...

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Bibliographic Details
Main Author: Ravindra Lal Weeraratne Koggalage
Other Authors: Goh, Wee Leng
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:http://hdl.handle.net/10356/3177
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Institution: Nanyang Technological University
Description
Summary:This thesis describes how existing knowledge of certain positional features of a chess game can be implemented in a parallel evaluation function using the SIMD model. Since SMID machines are very efficient in pattern matching, it is possible to examine thousands of feature patterns associated with chess positions in parallel.

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