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Shades of all‐or‐none learning: A stimulus sampling model
Author(s) -
Nicolson Roderick I.
Publication year - 1982
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.2044-8317.1982.tb00649.x
Subject(s) - computer science , stimulus (psychology) , artificial intelligence , machine learning , sampling (signal processing) , econometrics , statistics , mathematics , cognitive psychology , psychology , filter (signal processing) , computer vision
A model of paired‐associate learning is produced, based on stimulus sampling theory. The model provides an excellent fit for data from both a two‐alternative and a three‐alternative experiment, and resolves several problems that beset Markov models of the process.
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