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A comparison and evaluation of three machine learning procedures as applied to the game of checkers

✍ Scribed by Arnold K. Griffith

Publisher
Elsevier Science
Year
1974
Tongue
English
Weight
633 KB
Volume
5
Category
Article
ISSN
0004-3702

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✦ Synopsis

This paper presents two new ntc chine i~arning procedures used to arrive at "knowledgeable'" static evaluators for checker board positions. The static evaluators are compared with each other, and with the linear polynomial used by Samuel [9], usin,9 two different numerical indices reflectino the extent to which they agree with the choices of checker experts in the course of tabulated book games. The new static evaluators are found to perform about equally well, despite the relative simplicity of the second; and they perform noticably better than the linear polynomial. An indication of the significance of the absolute values of these two numerica: indices is provided by a discussion of a simple, purely heuristic, static evaluator, whose performance indices lie between those of the polynomial and these of the other two static evaluators.

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