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dc.contributor.authorGriffith, Arnolden_US
dc.date.accessioned2004-10-04T14:08:38Z
dc.date.available2004-10-04T14:08:38Z
dc.date.issued1966-03-01en_US
dc.identifier.otherAIM-094en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5896
dc.description.abstractThis 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.en_US
dc.format.extent7 p.en_US
dc.format.extent5529659 bytes
dc.format.extent362611 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-094en_US
dc.titleA New Machine-Learning Technique Applied to the Game of Checkersen_US


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