反例
概率逻辑
心理信息
对偶(语法数字)
心理学
认知心理学
偏爱
心理表征
双重过程理论(道德心理学)
推理心理学
计算机科学
人工智能
社会心理学
认知
基于模型的推理
知识表示与推理
数学
道德推理
语言学
梅德林
统计
哲学
离散数学
神经科学
政治学
法学
作者
Henry Markovits,Valerie A. Thompson
摘要
Mental model (Johnson-Laird, 2001) and probabilistic theories (Oaksford & Chater, 2009) claim to provide distinct explanations of human reasoning. However, the dual strategy model of reasoning suggests that this distinction corresponds to different reasoning strategies, termed counterexample and statistical, respectively. There is clear evidence that most people have a preference for a given strategy, and that this predicts performance on a variety of forms of reasoning and judgment (Thompson & Markovits, 2021). To date, however, the evidence for this conclusion has been correlational in nature; in the current studies, we manipulated strategy use. To this end, we gave people (N = 885) explicit instructions to reason either using a counterexample strategy or a probabilistic strategy. In two studies, we observed that the ability to follow these instructions was constrained by people's spontaneous strategy use, and that the effect of instructions carried over to two subsequent forms of reasoning (a) belief-biased inferences and (b) base-rate judgments. Finally, the ability to follow instructions was correlated with reasoning accuracy on both tasks. These results provide strong evidence for the underlying reality of the dual strategy model and show that explicit instructions to reason differently can modify performance on different forms of reasoning. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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