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Humans display a reduced set of consistent behavioral phenotypes in dyadic games
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Poncela-Casasnovas, J., Gutierrez-Roig , Mario, Gracia-Lazaro, C., Vicens, J., Gomez-Gardenes, J., Perello, J., Moreno, Y., Duch, J. and Sanchez, A. (2016) Humans display a reduced set of consistent behavioral phenotypes in dyadic games. Science Advances, 2 (8). e1600451. doi:10.1126/sciadv.1600451
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WRAP-humans-display-reduced-set-consistent-behavioral-Gutierrez-Roig-2016.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons: Attribution-Noncommercial 4.0. Download (749Kb) | Preview |
Official URL: http://dx.doi.org/10.1126/sciadv.1600451
Abstract
Socially relevant situations that involve strategic interactions are widespread among animals and humans alike. To study these situations, theoretical and experimental research has adopted a game theoretical perspective, generating valuable insights about human behavior. However, most of the results reported so far have been obtained from a population perspective and considered one specific conflicting situation at a time. This makes it difficult to extract conclusions about the consistency of individuals’ behavior when facing different situations and to define a comprehensive classification of the strategies underlying the observed behaviors. We present the results of a lab-in-the-field experiment in which subjects face four different dyadic games, with the aim of establishing general behavioral rules dictating individuals’ actions. By analyzing our data with an unsupervised clustering algorithm, we find that all the subjects conform, with a large degree of consistency, to a limited number of behavioral phenotypes (envious, optimist, pessimist, and trustful), with only a small fraction of undefined subjects. We also discuss the possible connections to existing interpretations based on a priori theoretical approaches. Our findings provide a relevant contribution to the experimental and theoretical efforts toward the identification of basic behavioral phenotypes in a wider set of contexts without aprioristic assumptions regarding the rules or strategies behind actions. From this perspective, our work contributes to a fact-based approach to the study of human behavior in strategic situations, which could be applied to simulating societies, policy-making scenario building, and even a variety of business applications.
| Item Type: | Journal Article | ||||||||||||||||||||||||||||||
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| Subjects: | B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HM Sociology |
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| Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Social Sciences > Warwick Business School |
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| Library of Congress Subject Headings (LCSH): | Human behavior, Dyadic analysis (Social sciences) | ||||||||||||||||||||||||||||||
| Journal or Publication Title: | Science Advances | ||||||||||||||||||||||||||||||
| Publisher: | American Association for the Advancement of Science | ||||||||||||||||||||||||||||||
| ISSN: | 2375-2548 | ||||||||||||||||||||||||||||||
| Official Date: | 2 July 2016 | ||||||||||||||||||||||||||||||
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| Volume: | 2 | ||||||||||||||||||||||||||||||
| Number: | 8 | ||||||||||||||||||||||||||||||
| Article Number: | e1600451 | ||||||||||||||||||||||||||||||
| DOI: | 10.1126/sciadv.1600451 | ||||||||||||||||||||||||||||||
| Status: | Peer Reviewed | ||||||||||||||||||||||||||||||
| Publication Status: | Published | ||||||||||||||||||||||||||||||
| Access rights to Published version: | Open Access | ||||||||||||||||||||||||||||||
| RIOXX Funder/Project Grant: |
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