On Bayesian Simplicity in Human Visual Perceptual Organization.

Abstract:

:A returning idea among some Bayesians in research on human visual perceptual organization is that the surprisal of something (i.e., the negative logarithm of its probability) expresses its complexity (i.e., the length of its shortest description). Bayes' rule is a powerful modeling tool and descriptive simplicity is a rich concept, but this idea is wishful thinking at best: If true, it would unify the simplicity and likelihood principles, which reflect two traditionally opposed schools of thought on perceptual organization. Some rapprochement between the two principles can certainly be discerned, but the aforementioned idea lacks formal underpinning and confounds otherwise perfectly good ideas. Here, this idea is revisited and its latest version is debunked step by step. In addition, I argue that its likely origin lies, inadvertently, in a standard Bayesian textbook: The author made (a) a pivotal mistake and (b) a compelling argument that was overinterpreted by others.

journal_name

Perception

journal_title

Perception

authors

van der Helm PA

doi

10.1177/0301006617719604

subject

Has Abstract

pub_date

2017-11-01 00:00:00

pages

1269-1282

issue

11

eissn

0301-0066

issn

1468-4233

journal_volume

46

pub_type

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