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A Computational Model of Wason's Selection Task

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Author

Summary, in English

We apply an algorithmic learning model of inquiry to model reasoning carried by experimental subjects in Wason's _Selection Task_ that represents reasoning in the task as computation of a decision tree that supervenes on (partial) semantic representations. We argue that the resulting model improves on previous probabilistic (Bayesian) and pragmatic (Relevance theory) models of the task. In particular, it suggests that subjects' selection could in fact be guided by sophisticated patterns of argumentative reasoning.

Department/s

Publishing year

2013

Language

English

Document type

Conference paper

Topic

  • Philosophy

Keywords

  • Algorithmic learning
  • Interrogative model of inquiry
  • Selection task
  • Problem-solving

Conference name

Second Conference on Games, Interactive Rationality and Learning

Conference date

2013-04-23 - 2013-04-26

Conference place

Sweden

Status

Inpress

Research group

  • Lund University Information Quality Research Group (LUIQ)