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DISCRIMINATIVE BINARY PREDICTION WITH REINFORCED CUE IDENTIFICATION
Author(s) -
Massaro Dominic W.,
Moore John W.
Publication year - 1968
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.2044-8317.1968.tb00409.x
Subject(s) - discriminative model , identification (biology) , similarity (geometry) , binary number , reinforcement , mathematics , pattern recognition (psychology) , loudness , task (project management) , artificial intelligence , speech recognition , psychology , statistics , computer science , social psychology , arithmetic , botany , management , economics , image (mathematics) , computer vision , biology
Two tones, T 1 and T 2 , differing in loudness, were employed as stimuli in a discriminative binary prediction task. Two responses, A 1 and A 2 , predicting events E 1 and E 2 respectively, were available to the subjects. An A 1 response was correct with probability π 1 and π 2 on T 1 and T 2 trials, respectively. The present study assessed the effects of the covariation of π 2 and the similarity of T 1 and T 2 on P ( A 1 | T 1 ), the probability of an A 1 response given a T 1 trial. Subjects were also required to identify the trial type (loud or soft) and were given partial feedback of identification responding. Partial feedback was sufficient to eliminate the effects of cue similarity on discriminative event prediction and also improved identification of trial types. The reinforcement effects indicated that subjects learn to behave appropriately to identified cues rather than learn to make specific motor responses.