Positive and negative patterning in human causal learning.

M E Young, E A Wasserman, J L Johnson, F L Jones
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引用次数: 33

Abstract

Investigations of patterning discriminations by nonhuman animals have generally found that positive patterning is easier to learn than negative patterning. Studies of patterning discriminations in human causal learning tasks have failed to document any differences between positive and negative patterning. In the present study, human participants predicted an outcome on trials involving either a compound cue or its elements. Positive and negative patterning problems were successfully solved in a within-subjects design; negative patterning problems proved to be more difficult when an additional, 50% contingent cue was included (Experiment 2), but not when it was excluded (Experiment 1). Possible reasons for these results are discussed. The discussion concludes with an analysis of exemplar models (e.g., Pearce, 1994) of human causal learning and considers the conditions under which these models do and do not anticipate our results.

人类因果学习中的积极和消极模式。
对非人类动物模式识别的研究通常发现,积极模式比消极模式更容易学习。对人类因果学习任务中模式区分的研究未能证明积极模式和消极模式之间存在任何差异。在目前的研究中,人类参与者在涉及复合线索或其元素的试验中预测结果。在受试者内设计中成功地解决了积极和消极模式问题;当额外的50%偶然线索被包含(实验2)时,消极模式问题被证明更加困难,但当排除它(实验1)时,情况并非如此。我们讨论了这些结果的可能原因。讨论的最后是对人类因果学习的范例模型(例如,Pearce, 1994)的分析,并考虑了这些模型预测和不预测我们的结果的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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