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关于认知可能性的推理。

Reasoning about epistemic possibilities.

作者信息

Ragni Marco, Johnson-Laird P N

机构信息

Cognitive Computation Lab, Institut für Informatik, Technische Fakultät, Albert-Ludwigs-Universität Freiburg, Georges-Köhler-Allee, Geb. 052, 79110 Freiburg, Germany.

Department of Psychology, Princeton University, Princeton, NJ 08540, USA; Department of Psychology, New York University, 6 Washington Place, New York, NY 10003, USA.

出版信息

Acta Psychol (Amst). 2020 Jul;208:103081. doi: 10.1016/j.actpsy.2020.103081. Epub 2020 Jun 1.

Abstract

Reasoning about epistemic possibilities - those based on knowledge - is fundamental in daily life. It is formalized in modal logics, of which there are infinitely many, based on the semantics of 'possible worlds'. An alternative psychological theory postulates that possibilities (and probabilities) in daily life are based on the human ability to construct mental models of finite alternatives, which can each be realized in an indefinite number of different ways. This account leads to three main predictions that diverge from normal modal logics. First, the assertion of an epistemic possibility, A, presupposes the possibility of not-A, in default of knowledge to the contrary. Second, reasoners condense multiple possibilities into one, contravening modal logics, but reducing the load on working memory, e.g.: When knowledge shows that this condensation would be inconsistent, reasoners resist it. Epistemic possibilities are akin to non-numerical probabilities, forming a scale that runs from impossible to certain. In contrast, epistemic necessities state a necessary condition for some other proposition, e.g.: "It is necessary that it rains tomorrow for the plants to survive." The article reports five experiments corroborating these predictions. Their results challenge current conceptions of human reasoning.

摘要

关于认知可能性(即基于知识的可能性)的推理在日常生活中至关重要。它在模态逻辑中被形式化,模态逻辑基于“可能世界”的语义,有无限多种。另一种心理学理论假定,日常生活中的可能性(和概率)基于人类构建有限替代方案心理模型的能力,每个替代方案都可以通过无数不同方式实现。这种观点产生了三个与普通模态逻辑不同的主要预测。第一,在没有相反知识的情况下,认知可能性A的断言预设了非A的可能性。第二,推理者将多种可能性浓缩为一种,这与模态逻辑相悖,但减轻了工作记忆的负担,例如:当知识表明这种浓缩会不一致时,推理者会抵制它。认知可能性类似于非数值概率,形成一个从不可能到确定的量表。相比之下,认知必然性陈述了其他某个命题的必要条件,例如:“为了植物存活,明天必须下雨。”本文报告了五项实验,证实了这些预测。它们的结果挑战了当前关于人类推理的观念。

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