Evidence map›Paper›PMID 37205752›Full record

ArticleScience advances2023

Dynamic prospect theory: Two core decision theories coexist in the gambling behavior of monkeys and humans.

Agnieszka Tymula, Xueting Wang, Yuri Imaizumi, Takashi Kawai, Jun Kunimatsu, Masayuki Matsumoto, Hiroshi Yamada

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Data-driven equation discovery reveals nonlinear reinforcement learning in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. An opponent striatal circuit for distributional reinforcement learning.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Agnieszka TymulaSchool of Economics, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-0521-8477
Xueting WangSchool of Economics, Finance and Marketing, College of Business and Law, RMIT University, Melbourne, VIC 2476, Australia.ORCID 0000-0002-6092-3662
Yuri ImaizumiMedical Sciences, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8577, Japan.ORCID 0000-0001-5922-1893
Takashi KawaiDivision of Biomedical Science, Institute of Medicine, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8577, Japan.
Jun KunimatsuDivision of Biomedical Science, Institute of Medicine, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8577, Japan.ORCID 0000-0002-8003-0650
Masayuki MatsumotoDivision of Biomedical Science, Institute of Medicine, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8577, Japan.ORCID 0000-0003-0832-1565
Hiroshi YamadaDivision of Biomedical Science, Institute of Medicine, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8577, Japan.ORCID 0000-0001-8155-8847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research in the multidisciplinary field of neuroeconomics has mainly been driven by two influential theories regarding human economic choice: prospect theory, which describes decision-making under risk, and reinforcement learning theory, which describes learning for decision-making. We hypothesized that these two distinct theories guide decision-making in a comprehensive manner. Here, we propose and test a decision-making theory under uncertainty that combines these highly influential theories. Collecting many gambling decisions from laboratory monkeys allowed for reliable testing of our model and revealed a systematic violation of prospect theory's assumption that probability weighting is static. Using the same experimental paradigm in humans, substantial similarities between these species were uncovered by various econometric analyses of our dynamic prospect theory model, which incorporates decision-by-decision learning dynamics of prediction errors into static prospect theory. Our model provides a unified theoretical framework for exploring a neurobiological model of economic choice in human and nonhuman primates.

Indexed as

GamblingAnimalsDecision MakingDecision TheoryHaplorhiniHumansLearning

Identifiers

PMID37205752
PMCPMC10198631

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.