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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
Probabilities and polarity biases in conditional inference.
- M. Oaksford, N. Chater, J. Larkin
- Psychology, Medicine
- Journal of experimental psychology. Learning…
- 1 July 2000
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 observed… Expand
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 against… Expand
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 the… Expand
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 version… Expand
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 the… Expand
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 investigation… Expand
Adaptive Non-Interventional Heuristics for Covariation Detection in Causal Induction: Model Comparison and Rational Analysis
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
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
Contrast classes and matching bias as explanations of the effects of negation on conditional reasoning
- M. Oaksford
- 1 May 2002
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 the… Expand