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

Behavioral and Brain Sciences 30 (3):275-276 (2007)
  Copy   BIBTEX

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

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,075

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Analytics

Added to PP
2009-01-28

Downloads
27 (#590,446)

6 months
11 (#238,613)

Historical graph of downloads
How can I increase my downloads?