A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making

A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making

Real-life decisions often require a comparison of multi-attribute options with various benefits and costs, and the evaluation of each option depends partly on the others in the choice set (i.e., the choice context). Although reinforcement learning models have successfully described choice behavior,...

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Bibliographic Details
Main Authors: Kanghoon Jung, Jaeseung Jeong, Jerald D. Kralik
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
decision making
attention
memory
reinforcement learning
cognitive control
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2019.00040/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2019.00040/full

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