Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/101662
Title: Humans display a reduced set of consistent behavioral phenotypes in dyadic games
Author: Poncela-Casasnovas, Julia
Gutiérrez-Roig, Mario
Gracia-Lázaro, Carlos
Vicens, Julián
Gómez-Gardeñes, Jesús
Perelló, Josep, 1974-
Moreno, Yamir
Duch i Gavaldà, Jordi
Sánchez, Angel
Keywords: Fenotip
Anàlisi de conducta
Anàlisi diàdic (Ciències socials)
Raonament
Altruïsme
Phenotype
Behavioral assessment
Dyadic analysis (Social sciences)
Reasoning
Altruism
Issue Date: 5-Aug-2016
Publisher: American Association for the Advancement of Science
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.
Note: Reproducció del document publicat a: http://dx.doi.org/10.1126/sciadv.1600451
It is part of: Science Advances, 2016, vol. 2, num. 8, p. e1600451
Related resource: http://dx.doi.org/10.1126/sciadv.1600451
URI: http://hdl.handle.net/2445/101662
ISSN: 2375-2548
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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