Cited by 125Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on BehaviorDecision-Making and Behavioral Economics

Dissociable neural representations of reinforcement and belief prediction errors underlie strategic learning

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Zhu, Lusha, Mathewson, Kyle E., Hsu, Ming·2012·Proceedings of the National Academy of Sciences

Abstract

Decision-making in the presence of other competitive intelligent agents is fundamental for social and economic behavior. Such decisions require agents to behave strategically, where in addition to learning about the rewards and punishments available in the environment, they also need to anticipate and respond to actions of others competing for the same rewards. However, whereas we know much about strategic learning at both theoretical and behavioral levels, we know relatively little about the underlying neural mechanisms. Here, we show using a multi-strategy competitive learning paradigm that strategic choices can be characterized by extending the reinforcement learning (RL) framework to incorporate agents’ beliefs about the actions of their opponents. Furthermore, using this characterization to generate putative internal values, we used model-based functional magnetic resonance imaging to investigate neural computations underlying strategic learning. We found that the distinct notions of prediction errors derived from our computational model are processed in a partially overlapping but distinct set of brain regions. Specifically, we found that the RL prediction error was correlated with activity in the ventral striatum. In contrast, activity in the ventral striatum, as well as the rostral anterior cingulate (rACC), was correlated with a previously uncharacterized belief-based prediction error. Furthermore, activity in rACC reflected individual differences in degree of engagement in belief learning. These results suggest a model of strategic behavior where learning arises from interaction of dissociable reinforcement and belief-based inputs.

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Crossref · 10.1073/pnas.1116783109

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  • Ventral striatum and medial prefrontal cortex signals encode information learned about strategic actions of competitors.

    “Additionally, ventral striatum and medial prefrontal cortex signals encode information learned about strategic actions of competitors 72, 88, 90.”

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Authors
Zhu, L., Mathewson, K. E., & Hsu, M.
Affiliations
  • Department of Economics and
  • University of Alberta (CA)
  • University of California, Berkeley (US)
Venue
Proceedings of the National Academy of Sciences
Published
2012-01-18
Volume
109
Issue
5
Pages
1419-1424
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2165958648
Cited by
125
References
45
Citations by year
2026: 7 · 2025: 6 · 2024: 6 · 2023: 4 · 2022: 4 · 2021: 14 · 2020: 9 · 2019: 7 · 2018: 7 · 2017: 8 · 2016: 11 · 2015: 11 · 2014: 13 · 2013: 11 · 2012: 7
FWCI
6.87
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
strategic learning, competitive decision-making, opponent modeling, belief learning, ventral striatum, rostral anterior cingulate cortex, model-based reinforcement learning, internal values, individual differences
MeSH terms
Decision Making, Humans, Learning, Motivation

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