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A New Machine-Learning Technique Applied to the Game of Checkers

Author(s)
Griffith, Arnold
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Abstract
This paper described a recent refinement of the machine--learning process employed by Samuel (1) in connection with his development of a checker playing program. Samuels checker player operates in much the same way a human player does; by looking ahead, and by making a qualitative judgment of the strength of the board positions it encounters. A machine learning process is applied to the development of an accurate procedure for making this strength evaluation of board positions. Before discussing my modifications to Samuels learning process, I should like to describe briefly Samuel's strength evaluation procedure, and the associated learning process.
Date issued
1966-03-01
URI
http://hdl.handle.net/1721.1/5896
Other identifiers
AIM-094
Series/Report no.
AIM-094

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  • AI Memos (1959 - 2004)

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