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SOME MODELS FOR SUCCESSIVE DISCRIMINATION LEARNING AND TRANSFER
Author(s) -
Robbins Donald
Publication year - 1972
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1972.tb00489.x
Subject(s) - stimulus (psychology) , transfer of learning , generalization , computer science , mathematics , artificial intelligence , machine learning , cognitive psychology , psychology , mathematical analysis
A variety of models dealing with two‐choice successive discrimination learning are considered. The basic approach involves assuming that an organism selects a subset of the stimulation available, a stimulus element, as a basis for a response, and then a choice response is made. This selection process, when added to stimulus sampling theory, yields a class of models, of which a subset can account for the acquisition of successive discrimination, stimulus generalization or transfer, and can be extended to multidimensional discriminations.