A Computational Model of Wason's Selection Task

Emmanuel Genot

A Computational Model of Wason's Selection Task

Forskningsoutput: Konferensbidrag › Konferenspaper, ej i proceeding/ej förlagsutgivet › Peer review

Sammanfattning

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.

Originalspråk	engelska
Status	Accepted/In press - 2013
Evenemang	Second Conference on Games, Interactive Rationality and Learning - Lund, Sverige Varaktighet: 2013 apr. 23 → 2013 apr. 26

Konferens

Konferens	Second Conference on Games, Interactive Rationality and Learning
Land/Territorium	Sverige
Period	2013/04/23 → 2013/04/26

Ämnesklassifikation (UKÄ)

Filosofi

1 Konferenspaper i proceeding
1 Konferenspaper, ej i proceeding/ej förlagsutgivet

Fast and Loose: Interpreting Wason's Selection Task (Part I: The Descriptive Case)
Genot, E. & Pärnamets, P., 2013, (Unpublished).
Forskningsoutput: Konferensbidrag › Konferenspaper, ej i proceeding/ej förlagsutgivet › Peer review
Information Processing and Constraint Satisfaction in Wason’s Selection Task
Genot, E., 2012, Cognition, reasoning, emotion, Action. CogSc-12. Proceedings of the ILCLI International Workshop on Cognitive Science.. Larrazabal, J. M. (red.). University of the Basque Country Press, s. 153-162
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Fil

Citera det här

@conference{5f0782f7c43c441f882ff5f7ff0e5793,

title = "A Computational Model of Wason's Selection Task",

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.",

keywords = "Algorithmic learning, Interrogative model of inquiry, Selection task, Problem-solving",

author = "Emmanuel Genot",

year = "2013",

language = "English",

note = "Second Conference on Games, Interactive Rationality and Learning ; Conference date: 23-04-2013 Through 26-04-2013",

}

TY - CONF

T1 - A Computational Model of Wason's Selection Task

AU - Genot, Emmanuel

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Algorithmic learning

KW - Interrogative model of inquiry

KW - Selection task

KW - Problem-solving

M3 - Paper, not in proceeding

T2 - Second Conference on Games, Interactive Rationality and Learning

Y2 - 23 April 2013 through 26 April 2013

ER -

A Computational Model of Wason's Selection Task

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Fingeravtryck

Forskningsoutput

Fast and Loose: Interpreting Wason's Selection Task (Part I: The Descriptive Case)

Information Processing and Constraint Satisfaction in Wason’s Selection Task

Citera det här