CUED Publications database

Requiem for the max rule?

Ma, WJ and Shen, S and Dziugaite, G and van den Berg, R (2014) Requiem for the max rule? Vision Res, 116. pp. 179-193.

Full text not available from this repository.

Abstract

In tasks such as visual search and change detection, a key question is how observers integrate noisy measurements from multiple locations to make a decision. Decision rules proposed to model this process have fallen into two categories: Bayes-optimal (ideal observer) rules and ad-hoc rules. Among the latter, the maximum-of-outputs (max) rule has been the most prominent. Reviewing recent work and performing new model comparisons across a range of paradigms, we find that in all cases except for one, the optimal rule describes human data as well as or better than every max rule either previously proposed or newly introduced here. This casts doubt on the utility of the max rule for understanding perceptual decision-making.

Item Type: Article
Uncontrolled Keywords: Change detection Computational models Decision rules Ideal observer Visual search Attention Bayes Theorem Computer Simulation Decision Making Humans Signal Detection, Psychological Visual Perception
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:55
Last Modified: 16 Nov 2017 02:19
DOI: