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Groups of diverse problem solvers can outperform groups of high-ability problem solvers
Open accessAbstract
We introduce a general framework for modeling functionally diverse problem-solving agents. In this framework, problem-solving agents possess representations of problems and algorithms that they use to locate solutions. We use this framework to establish a result relevant to group composition. We find that when selecting a problem-solving team from a diverse population of intelligent agents, a team of randomly selected agents outperforms a team comprised of the best-performing agents. This result relies on the intuition that, as the initial pool of problem solvers becomes large, the best-performing agents necessarily become similar in the space of problem solvers. Their relatively greater ability is more than offset by their lack of problem-solving diversity.
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“Jury Theorems argue that under certain conditions, a diverse set of users can arrive at better solutions than experts (Hong & Page, 2004;Dietrich & Spiekermann, 2021).”
From On Epistemic Diversity in Large Language Models (2026) · cites this paper as Hong & Page, 2004
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“By adding members with different life experiences and cognitive problem-solving skills, and given favourable conditions, diverse groups may even outperform experts (Hong and Page 2004).”
From Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act (2024) · cites this paper as Hong and Page 2004
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Cites
Newell, A. (1972) · Cited by 6,222
Human Inference: Strategies and Shortcomings of Social Judgment.
Cherniak, C., Nisbett, R. E., & Ross, L. D. (1983) · The Philosophical Review · doi:10.2307/2184495 · Cited by 4,196
Miller, G. A., & Cantor, N. E. (1982) · Social Cognition · doi:10.1521/soco.1982.1.1.83 · Cited by 2,862
Watson, W. E., Kumar, K., & Michaelsen, L. K. (1993) · Academy of Management Journal · doi:10.5465/256593 · Cited by 1,454
Capitalizing on Diversity: Interpersonal Congruence in Small Work Groups
Polzer, J. T., Milton, L. P., & Swann, W. B. (2002) · Administrative Science Quarterly · doi:10.2307/3094807 · Cited by 619
Problem Solving by Heterogeneous Agents
Hong, L., & Page, S. E. (2001) · Journal of Economic Theory · doi:10.1006/jeth.2000.2709 · Cited by 460
Self-citationCooperative Solution of Constraint Satisfaction Problems
Clearwater, S. H., Huberman, B. A., & Hogg, T. (1991) · Science · doi:10.1126/science.254.5035.1181 · Cited by 154
The performance of cooperative processes
Huberman, B. A. (1990) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(90)90065-w · Cited by 76
Decision, Contract, and Emotion: Some Economics for a Complex and Confusing World
MacLeod, W. B. (1996) · Canadian Journal of Economics/Revue canadienne d économique · doi:10.2307/136215 · Cited by 49
Selected research on work team diversity.
(1996) · American Psychological Association eBooks · doi:10.1037/10507-000 · Cited by 46
Flagged first, then by citations
Research works printed but not linked: 1
- Watson, W., Kumar, K. & Michaelsen, L. (1993) Acad. Manage. J. 36, 590-602. · DOI · Paper page
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Fujisaki, I., Honda, H., & Ueda, K. (2018) · Humanities and Social Sciences Communications · doi:10.1057/s41599-018-0161-1 · Cited by 8
Hao, Q., Dong, D., & Wu, K. (2019) · International Journal of Accounting and Information Management · doi:10.1108/ijaim-11-2018-0128 · Cited by 8
Stanko, M. A. (2020) · Creativity and Innovation Management · doi:10.1111/caim.12376 · Cited by 8
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Kimble-Hill, A. (2021) · Journal of Chemical Health and Safety · doi:10.1021/acs.chas.0c00109 · Cited by 9
Malone, T. W., & Woolley, A. W. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108770422.033 · Cited by 10
Crowd Research: Open and Scalable University Laboratories
Vaish, R., Gaikwad, S. S., Kovacs, G., Veit, A., Krishna, R., Arrieta-Ibarra, I., Simoiu, C., Wilber, M. J., Belongie, S., Goel, S., et al. (2018) · Understanding innovation · doi:10.1007/978-3-319-97082-0_7 · Cited by 8
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Isley, R. (2022) · N Y U American Public Policy Review · doi:10.21428/4b58ebd1.0e834dbb · Cited by 9
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Editors, T. P. M., Rid, A., Johansson, M. A., Leung, G. M., Valantine, H. A., Burchard, E. G., Oh, S. S., & Zimmerman, C. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002186 · Cited by 9
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Metadata
- Authors
- Hong, L., & Page, S. E.
- Affiliations
- Loyola University Chicago (US)
- Corresponding author
- Hong, Lu
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2004-11-08
- Volume
- 101
- Issue
- 46
- Pages
- 16385-16389
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC528939
- OpenAlex
- W2158392329
- Cited by
- 2,103
- References
- 10
- Citations by year
- 2026: 168 · 2025: 183 · 2024: 197 · 2023: 215 · 2022: 189 · 2021: 175 · 2020: 157 · 2019: 127 · 2018: 154 · 2017: 84 · 2016: 87 · 2015: 77 · 2014: 63 · 2013: 54 · 2012: 47
- FWCI
- 9.73
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Keywords
- group composition, team performance, problem-solving agents, agent selection, problem representation, algorithmic search
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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