A Computational Model of Wason's Selection Task

Research output: Contribution to conferencePaper, not in proceeding

Abstract

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.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Philosophy

Keywords

  • Algorithmic learning, Interrogative model of inquiry, Selection task, Problem-solving
Original languageEnglish
Publication statusAccepted/In press - 2013
Publication categoryResearch
Peer-reviewedYes
EventSecond Conference on Games, Interactive Rationality and Learning - Lund, Sweden
Duration: 2013 Apr 232013 Apr 26

Conference

ConferenceSecond Conference on Games, Interactive Rationality and Learning
CountrySweden
Period2013/04/232013/04/26

Related research output

Emmanuel Genot & Philip Pärnamets, 2013, (Unpublished).

Research output: Contribution to conferencePaper, not in proceeding

Emmanuel Genot, 2012, Cognition, reasoning, emotion, Action. CogSc-12. Proceedings of the ILCLI International Workshop on Cognitive Science.. Larrazabal, J. M. (ed.). University of the Basque Country Press, p. 153-162

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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