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Précis of Bayesian Rationality: The Probabilistic Approach to Human Reasoning
Abstract According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health,Expand
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Probabilities and polarity biases in conditional inference.
A probabilistic computational level model of conditional inference is proposed that can explain polarity biases in conditional inference (e.g., J. St. B. T. Evans, 1993). These biases are observedExpand
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Rationality In An Uncertain World: Essays In The Cognitive Science Of Human Understanding
Part I: problems with logicism autonomy, implementation and cognitive architecture - a reply to Fodor and Pylyshyn connectionism, classical cognitive science, and experimental psychology againstExpand
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The probabilistic approach to human reasoning
A recent development in the cognitive science of reasoning has been the emergence of a probabilistic approach to the behaviour observed on ostensibly logical tasks. According to this approach theExpand
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Reasoning with conditionals containing negated constituents.
Three experiments investigated matching bias in conditional reasoning tasks. Matching bias occurs when Ss ignore negations and match named items. Experiment 1 used an abstract and a thematic versionExpand
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The probabilistic mind: prospects for Bayesian cognitive science
This chapter introduces the probabilistic approach to cognition; describes the different levels of explanation at which it can apply; reviewes past work; and considers potential challenges to theExpand
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The rationality of informal argumentation: a Bayesian approach to reasoning fallacies.
Classical informal reasoning "fallacies," for example, begging the question or arguing from ignorance, while ubiquitous in everyday argumentation, have been subject to little systematic investigationExpand
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Adaptive Non-Interventional Heuristics for Covariation Detection in Causal Induction: Model Comparison and Rational Analysis
TLDR
In this article, 41 models of covariation detection from 2 × 2 contingency tables were evaluated against past data in the literature and against data from new experiments. Expand
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Optimal data selection: Revision, review, and reevaluation
Since it first appeared, there has been much research and critical discussion on the theory of optimal data selection as an explanation of Wason’s (1966, 1968) selection task (Oaksford & Chater,Expand
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Contrast classes and matching bias as explanations of the effects of negation on conditional reasoning
In this paper the arguments for optimal data selection and the contrast class account of negations in the selection task and the conditional inference task are summarised, and contrasted with theExpand
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