Asymmetries in the Bidirectional Associative Strengths Between Events in Cue Competition for Causes and Effects
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چکیده
Two experiments using social stimuli tested a recurrent neural network model’s predictions for cue competition for causes and effects. The delta-rule based model predicts the presence of cue competition for effects as well as for causes as a result of an asymmetry in the bidirectional associative strengths between the relevant cue-outcome pairs. This model can capture cue competition for effects when cues are encountered in the cause-effect direction, unlike associative and feedforward models. Results support the model’s prediction of cue competition for both effects and causes. The implications of these results for causal model theory and for various associative accounts of cue competition are discussed.
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تاریخ انتشار 2004