启发式
概率论
频发概率
启发式
概率统计
概率分布
不精确概率
应用概率
数理经济学
数学
计算机科学
心理学
计量经济学
统计
人工智能
数学优化
贝叶斯概率
作者
Håkan Nilsson,Peter Juslin,Anders Winman
出处
期刊:Psychological Review
[American Psychological Association]
日期:2015-12-28
卷期号:123 (1): 103-111
被引量:13
摘要
Costello and Watts (2014) present a model assuming that people's knowledge of probabilities adheres to probability theory, but that their probability judgments are perturbed by a random noise in the retrieval from memory. Predictions for the relationships between probability judgments for constituent events and their disjunctions and conjunctions, as well as for sums of such judgments were derived from probability theory. Costello and Watts (2014) report behavioral data showing that subjective probability judgments accord with these predictions. Based on the finding that subjective probability judgments follow probability theory, Costello and Watts (2014) conclude that the results imply that people's probability judgments embody the rules of probability theory and thereby refute theories of heuristic processing. Here, we demonstrate the invalidity of this conclusion by showing that all of the tested predictions follow straightforwardly from an account assuming heuristic probability integration (Nilsson, Winman, Juslin, & Hansson, 2009). We end with a discussion of a number of previous findings that harmonize very poorly with the predictions by the model suggested by Costello and Watts (2014).
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