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Asymmetries in the bidirectional associative strengths between events in cue competition for causes and effects.

机译：提示因果关系竞争中事件之间双向关联强度的不对称性。

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摘要

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 causes as well as for effects as a result of an asymmetry in the bidirectional associative strengths between the relevant cue-outcome pairs. Results support the model's prediction for the presence of cue competition for causes and for effects. However, the observed asymmetry in the bidirectional associative strengths between the common cause and the redundant outcome in cue competition for effects was in the opposite direction of that predicted by the recurrent network model. Further, cue competition for causes did not exhibit the predicted asymmetry in the bidirectional associative strengths between the redundant cause and the common outcome. The implications these results have for the various contingency learning models' accounts of cue competition are discussed.
机译：两项使用社交刺激的实验测试了递归神经网络模型对因果关系提示竞争的预测。基于增量规则的模型预测相关提示对结果之间双向关联强度不对称的原因和结果的提示竞争。结果支持模型对因果关系和因果关系的提示竞争的预测。但是，在提示竞争中，在共同原因和冗余结果之间双向关联强度中观察到的不对称性与递归网络模型所预测的方向相反。此外，对原因的提示竞争在冗余原因和共同结果之间的双向关联强度中未表现出预期的不对称性。讨论了这些结果对各种应急学习模型的线索竞争情况的影响。

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  • 作者

    Kim, Deanah K.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Psychology Social.; Psychology Experimental.; Psychology Cognitive.
  • 学位 M.A.
  • 年度 2003
  • 页码 56 p.
  • 总页数 56
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 社会心理、社会行为;心理学;心理学;
  • 关键词

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