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Facts and Possibilities: A Model-Based Theory of Sentential Reasoning

机译:事实与可能性:基于模型的句子推理理论

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This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals (if) and disjunctions (or), unlike those in logic, refer to conjunctions of epistemic possibilities that hold in default of information to the contrary. Various factors such as general knowledge can modulate these interpretations. New information can always override sentential inferences; that is, reasoning in daily life is defeasible (or nonmonotonic). The theory is a dual process one: It distinguishes between intuitive inferences (based on system 1) and deliberative inferences (based on system 2). The article describes a computer implementation of the theory, including its two systems of reasoning, and it shows how the program simulates crucial predictions that evidence corroborates. It concludes with a discussion of how the theory contrasts with those based on logic or on probabilities.
机译:本文介绍了心理模型理论的基本进展,作为对事实,可能性和概率的推理的解释。它假定复合断言的含义,例如条件(if)和析取(or),与逻辑上的含义不同,是指认知可能性的合而在默认情况下信息相反。诸如常识之类的各种因素可以调节这些解释。新信息始终可以覆盖句子推断。也就是说,日常生活中的推理是不可行的(或非单调的)。该理论是一个双重过程:它区分直觉推理(基于系统1)和协商推理(基于系统2)。本文介绍了该理论的计算机实现,包括其两个推理系统,并说明了程序如何模拟证据证实的关键预测。最后讨论了该理论与基于逻辑或概率的理论如何形成对比。

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