Trial order affects cue interaction in contingency judgment.
DOI: 10.1037/0278-7393.17.5.837
关键词: Statistical model 、 Associative property 、 Cognition 、 Connectionism 、 Psychology 、 Developmental psychology 、 Contingency 、 Variation (linguistics) 、 Comparator hypothesis 、 Order (business)
摘要: Recent research on contingency judgment indicates that the judged predictiveness of a cue is dependent predictive strengths other cues. Two classes models correctly predict such interaction: associative and statistical models. However, these differ in their predictions about effect trial order interaction. In five experiments reported here, college students viewed trial-by-trial data regarding several medical symptoms disease, judging strength each symptom with respect to disease. The results indicate influences manner which cues interact, but neither nor can fully account for pattern. A possible variation an discussed.
sci-hub.se 参考文章(49)
L. J. Kamin, Attention-like processes in classical conditioning Miami symposium on the prediction of behavior : Aversive stimulation. pp. 9- 31 ,(1967)
James L.. McClelland, David E.. Rumelhart, Parallel distributed processing research group, Parallel Distributed Processing: Explorations in the Microstructure of Cognition : Psychological and Biological Models ,(1986)
L. J. Kamin, Predictability, surprise, attention, and conditioning ,(1967)
Robert A Rescorla, None, A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement Classical conditioning II : Current research and theory. pp. 64- 99 ,(1972)
Gregory O Stone, None, An analysis of the delta rule and the learning of statistical associations Parallel distributed processing: explorations in the microstructure of cognition, vol. 1. pp. 444- 459 ,(1986)
Lars-Göran Nilsson, Trevor Archer, Perspectives on Learning and Memory ,(1985)
David R. Shanks, Anthony Dickinson, Associative Accounts of Causality Judgment Psychology of Learning and Motivation. ,vol. 21, pp. 229- 261 ,(1988) , 10.1016/S0079-7421(08)60030-4
David E. Rumelhart, James L. McClelland, , Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations Computational Models of Cognition and Perception. ,(1986) , 10.7551/MITPRESS/5236.001.0001
Michael McCloskey, Neal J. Cohen, Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem Psychology of Learning and Motivation. ,vol. 24, pp. 109- 165 ,(1989) , 10.1016/S0079-7421(08)60536-8
Russell M. Church, Byron A. Campbell, Punishment and aversive behavior Appleton-Century-Crofts. ,(1969)