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

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



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