• Publications
  • Influence
A temporal ratio model of memory.
A model of memory retrieval is described. The model embodies 4 main claims: (a) temporal memory--traces of items are represented in memory partly in terms of their temporal distance from the present;Expand
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A rational analysis of the selection task as optimal data selection.
TLDR
Human reasoning in hypothesis-testing tasks like P. Wason's selection task has been depicted as prone to systematic biases. Expand
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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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The Probability Heuristics Model of Syllogistic Reasoning
A probability heuristic model (PHM) for syllogistic reasoning is proposed. An informational ordering over quantified statements suggests simple probability based heuristics for syllogistic reasoning.Expand
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Decision by sampling
We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute's subjective valueExpand
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Distributional Information: A Powerful Cue for Acquiring Syntactic Categories
TLDR
We show that distributional information provides a powerful cue to syntactic category membership, which can be exploited by a variety of simple, psychologically plausible mechanisms. Expand
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Language as shaped by the brain.
It is widely assumed that human learning and the structure of human languages are intimately related. This relationship is frequently suggested to derive from a language-specific biologicalExpand
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The Now-or-Never bottleneck: A fundamental constraint on language
TLDR
We argue that, to deal with this “Now-or-Never” bottleneck, the brain must compress and recode linguistic input as rapidly as possible. Expand
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Reconciling simplicity and likelihood principles in perceptual organization.
  • N. Chater
  • Computer Science, Medicine
  • Psychological review
  • 1 July 1996
TLDR
The author argues that simplicity and likelihood are not in competition, but are identical. 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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