UNIGE document Scientific Article
previous document  unige:86850  next document
add to browser collection
Title

Optimal policy for value-based decision-making

Authors
Published in Nature Communications. 2016, vol. 7, p. 12400
Abstract For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down.
Identifiers
PMID: 27535638
Full text
Article (Published version) (955 Kb) - public document Free access
Structures
Research group Groupe Alexandre Pouget (938)
Citation
(ISO format)
TAJIMA, Satohiro, DRUGOWITSCH, Jan, POUGET, Alexandre. Optimal policy for value-based decision-making. In: Nature Communications, 2016, vol. 7, p. 12400. https://archive-ouverte.unige.ch/unige:86850

156 hits

36 downloads

Update

Deposited on : 2016-09-07

Export document
Format :
Citation style :