Does micro-variability make models more complex? a comparison between diffusive and linear evidence accumulation

Title: Does micro-variability make models more complex? a comparison between diffusive and linear evidence accumulation
Creator: Donkin, Chris; Shiffrin, Richard M; Brown, Scott; Heathcote, Andrew
Relation: 32nd Annual Conference of the Cognitive Science Society (COGSCI 2010). Cognition in Flux. Proceedings of the 32nd Annual Conference of the Cognitive Science Society (Portland, OR 11-14 August, 2010) p. 1946-1951
Relation: http://mindmodeling.org/cogsci2010/papers/0474/index.html
Publisher: Cognitive Science Society
Resource Type: conference paper
Date: 2010
Description: Most theories of how decisions are made assume that the accumulation of evidence from the environment is a noisy process. Recently, models have been proposed which do not have this micro-variability, and as a result are simple in the sense of being analytically tractable. We use a global model analysis method called landscaping to show that in terms of flexibility, simply removing micro-variability does not necessarily make a model more simple. Our landscaping also highlights an experimental design which might be helpful in discriminating between different response models.
Subject: response time models; complexity; landscaping
Identifier: http://hdl.handle.net/1959.13/935518
Identifier: uon:12076
Language: eng
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