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因果判断的递归回顾性重估

Recursive retrospective revaluation of causal judgments.

作者信息

Macho Siegfried, Burkart Judith

机构信息

Department of Psychology, University of Fribourg, Switzerland.

出版信息

J Exp Psychol Learn Mem Cogn. 2002 Nov;28(6):1171-86.

Abstract

Recursive causal evaluation is an iterative process in which the evaluation of a target cause, T, is based on the outcome of the evaluation of another cause, C, the evaluation of which itself depends on the evaluation of a 3rd cause, D. Retrospective revaluation consists of backward processing of information as indicated by the fact that the evaluation of T is influenced by subsequent information that is not concerned with T directly. Two experiments demonstrate recursive retrospective revaluation with contingency information presented in list format as well as with trial-by-trial acquisition. Existing associative models are unable to predict the results. The model of recursive causal disambiguation that conceptualizes the revaluation as a recursive process of disambiguation predicts the pattern of results correctly.

摘要

递归因果评估是一个迭代过程,其中对目标原因T的评估基于对另一个原因C的评估结果,而对C的评估本身又依赖于对第三个原因D的评估。回顾性重评估包括对信息的反向处理,这体现在对T的评估受到后续与T无直接关联的信息影响这一事实上。两项实验证明了在以列表形式呈现的偶然性信息以及逐次试验习得的情况下的递归回顾性重评估。现有的联想模型无法预测这些结果。将重评估概念化为递归消歧过程的递归因果消歧模型正确地预测了结果模式。

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