作者
J Richard Eiser, Russell H Fazio, Tom Stafford, Tony J Prescott
发表日期
2003/10
期刊
Personality and Social Psychology Bulletin
卷号
29
期号
10
页码范围
1221-1235
出版商
Sage Publications
简介
Connectionist computer simulation was employed to explore the notion that, if attitudes guide approach and avoidance behaviors, false negative beliefs are likely to remain uncorrected for longer than false positive beliefs. In Study 1, the authors trained a three-layer neural network to discriminate “good” and “bad” inputs distributed across a two-dimensional space. “Full feedback” training, whereby connection weights were modified to reduce error after every trial, resulted in perfect discrimination. “Contingent feedback,” whereby connection weights were only updated following outputs representing approach behavior, led to several false negative errors (good inputs misclassified as bad). In Study 2, the network was redesigned to distinguish a system for learning evaluations from a mechanism for selecting actions. Biasing action selection toward approach eliminated the asymmetry between learning of good and bad …
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JR Eiser, RH Fazio, T Stafford, TJ Prescott - Personality and Social Psychology Bulletin, 2003
JR Eiser, RH Fazio, T Stafford, TJ Prescott