Multiple Systems for Value Learning

Nathaniel D. Daw, John P. O'Doherty

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Although choice is often unitary on theoretical accounts, there is much empirical evidence that decisions are produced by multiple, cooperating or competing neural and psychological mechanisms. We review the evidence that decisions in humans and other animals are influenced by three systems for value learning: Pavlovian, habitual, and goal-directed. These systems are behaviorally dissociable, are mediated by at least partly differentiable brain systems, and embody distinct computational principles. We discuss how the interactions between these systems for behavioral control can produce errors, inefficiencies, and disorders involving compulsion, and how these systems relate to other dual- or multiple-system models in neuroeconomics.

Original languageEnglish (US)
Title of host publicationNeuroeconomics
Subtitle of host publicationDecision Making and the Brain: Second Edition
PublisherElsevier Inc.
Pages393-410
Number of pages18
ISBN (Print)9780124160088
DOIs
StatePublished - Sep 1 2013

    Fingerprint

Keywords

  • Goal-directed
  • Habitual
  • Model-based learning
  • Model-free learning
  • Pavlovian
  • Reinforcement learning

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Daw, N. D., & O'Doherty, J. P. (2013). Multiple Systems for Value Learning. In Neuroeconomics: Decision Making and the Brain: Second Edition (pp. 393-410). Elsevier Inc.. https://doi.org/10.1016/B978-0-12-416008-8.00021-8