A Computational Model of Wason's Selection Task
Författare
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.
Avdelning/ar
- Teoretisk filosofi
- Lund University Information Quality Research Group (LUIQ)
Publiceringsår
2013
Språk
Engelska
Dokumenttyp
Konferensbidrag
Ämne
- Philosophy
Nyckelord
- 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
Forskningsgrupp
- Lund University Information Quality Research Group (LUIQ)