Dynamic Integration of Value Information into a Common Probability Currency as a Theory for Flexible Decision Making

Vassilios Christopoulos, Paul R. Schrater

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Decisions involve two fundamental problems, selecting goals and generating actions to pursue those goals. While simple decisions involve choosing a goal and pursuing it, humans evolved to survive in hostile dynamic environments where goal availability and value can change with time and previous actions, entangling goal decisions with action selection. Recent studies suggest the brain generates concurrent action-plans for competing goals, using online information to bias the competition until a single goal is pursued. This creates a challenging problem of integrating information across diverse types, including both the dynamic value of the goal and the costs of action. We model the computations underlying dynamic decision-making with disparate value types, using the probability of getting the highest pay-off with the least effort as a common currency that supports goal competition. This framework predicts many aspects of decision behavior that have eluded a common explanation.

Original languageEnglish (US)
Article numbere1004402
JournalPLoS computational biology
Volume11
Issue number9
DOIs
StatePublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 Christopoulos, Schrater.

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