Nested sets theory, full stop – Explaining performance on Bayesian inference tasks without dual-systems assumptions

La théorie des ensembles nichés sans artifice – Expliquer la performance dans les inférences bayésiennes sans s’appuyer sur l’hypothèse des processus duaux

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Authors
  1. Mandel, D.R.
Corporate Authors
Defence R&D Canada - Toronto, Toronto ONT (CAN)
Abstract
Consistent with Barbey & Sloman (B&S), it is proposed that performance on Bayesian inference tasks is well explained by nested-sets theory (NST). However, contrary to those authors’ view, it is proposed that NST does better by dispelling with dual-systems assumptions. This article examines why, and sketches out a series of NST’s core principles, which were not previously defined.

Il y a un résumé en français ici.

Keywords
Bayesian probability;posterior probability judgment;nested-sets theory;dual-process theory;accuracy
Report Number
DRDC-TORONTO-SL-2007-085 — Scientific Literature
Date of publication
01 Dec 2007
Number of Pages
4
Reprinted from
Behavioural and Brain Sciences, vol 30, no 3, 2007, p 275-276
DSTKIM No
CA032060
CANDIS No
531209
Format(s):
Electronic Document(PDF)

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