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

dc.creator	Griffith, Arnold
dc.date	2004-10-04T14:08:38Z
dc.date	2004-10-04T14:08:38Z
dc.date	1966-03-01
dc.date.accessioned	2013-10-09T02:41:50Z
dc.date.available	2013-10-09T02:41:50Z
dc.date.issued	2013-10-09
dc.identifier	AIM-094
dc.identifier	http://hdl.handle.net/1721.1/5896
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	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.
dc.format	7 p.
dc.format	5529659 bytes
dc.format	362611 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-094
dc.title	A New Machine-Learning Technique Applied to the Game of Checkers

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