Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism
Dimitrije Markovic, Jan Glaescher, Peter Bossaerts, John O'Doherty, Stefan J Kiebel
PLoS Computational Biology | PUBLIC LIBRARY SCIENCE | Published : 2015
For making decisions in everyday life we often have first to infer the set of environmental features that are relevant for the current task. Here we investigated the computational mechanisms underlying the evolution of beliefs about the relevance of environmental features in a dynamical and noisy environment. For this purpose we designed a probabilistic Wisconsin card sorting task (WCST) with belief solicitation, in which subjects were presented with stimuli composed of multiple visual features. At each moment in time a particular feature was relevant for obtaining reward, and participants had to infer which feature was relevant and report their beliefs accordingly. To test the hypothesis th..View full abstract
Awarded by US-German Collaboration in Computational Neuroscience of NSF
Awarded by BMBF (Forderkennzeichen)
This work was supported by the US-German Collaboration in Computational Neuroscience of NSF (1207573, to JO) and BMBF (Forderkennzeichen: 01GQ1205, to SJK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.