归类不确定情景下特征推理的综合条件概率模型

心理学报 ›› 2005, Vol. 37 ›› Issue (04): 482-490.

归类不确定情景下特征推理的综合条件概率模型

王墨耘,莫雷

华南师范大学心理学系，广州　510631

收稿日期:2005-04-12 修回日期:1900-01-01 出版日期:2005-07-30 发布日期:2005-07-30
通讯作者: 王墨耘

AN OVERALL CONDITIONAL PROBABILITY MODEL OF FEATURE REASONING IN UNCERTAIN CATEGORIZATION

Wang Moyun,Mo Lei

Department of Psychology, South China Normal University, Guangzhou 510631, China

Received:2005-04-12 Revised:1900-01-01 Published:2005-07-30 Online:2005-07-30
Contact: Wang Moyun

摘要/Abstract

摘要： 用大学生被试，通过三个实验探讨在集中呈现类别成员样本信息的归类不确定情景下的特征推理。实验结果表明，单纯的归类确定性程度和靶类别靶特征的代表性并不直接影响被试的特征推理，而是预测特征相对于目标特征的综合条件概率直接影响被试的特征推理；特征推理不是基于类别中介的间接推理，而是基于特征关联综合条件概率的直接推理。实验结果支持作者提出的预测特征综合条件概率模型。

关键词: 归类, 特征推理, 贝叶斯分析, 单类说, 预测特征综合条件概率模型

Abstract: Three experiments with participants of college students were done to investigate feature reasoning in uncertain categorization in the concentrative presentation of samples of category members. The results showed that it is the overall conditional probability of the prediction feature relative to the target feature rather than category uncertainty and representativeness of target features that affects participants’ feature reasoning, and that feature reasoning is direct reasoning based on the overall conditional probability of feature relevancy rather than indirect reasoning based on categories. The results supported the authors’ overall conditional probability model of prediction features.

Key words: categorization, feature reasoning, Bayesian analysis, single category explanation, the overall conditional probability model of prediction features

中图分类号:

B842

王墨耘,莫雷. (2005). 归类不确定情景下特征推理的综合条件概率模型. 心理学报, 37(04), 482-490.

Wang Moyun,Mo Lei. (2005). AN OVERALL CONDITIONAL PROBABILITY MODEL OF FEATURE REASONING IN UNCERTAIN CATEGORIZATION. , 37(04), 482-490.

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