61537 20250619084222.0 doi 10.1126/sciadv.1600451 sideral 98916 ART-2016-98916 eng Poncela-Casasnovas, Julia Humans display a reduced set of consistent behavioral phenotypes in dyadic games 2016 Access copy available to the general public Unrestricted 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-thefield experiment in which subjects face four different dyadic games, with the aim of establishing general behavioral rules dictating individuals’ actions. By analyzing our datawith 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. info:eu-repo/grantAgreement/ES/DGA/FENOL-GROUP info:eu-repo/grantAgreement/EC/FP7/317532/EU/Foundational Research on MULTIlevel comPLEX networks and systems/MULTIPLEX info:eu-repo/grantAgreement/ES/MINECO/FIS2011-25167 info:eu-repo/grantAgreement/ES/MINECO/FIS2012-38266-C02-01 info:eu-repo/semantics/openAccess by-nc http://creativecommons.org/licenses/by-nc/3.0/es/ 37.205 2016 MULTIDISCIPLINARY SCIENCES 2 / 63 = 0.032 2016 Q1 T1 13.744 2016 History and Philosophy of Science 2016 Q1 Multidisciplinary 2016 Q1 Medicine (miscellaneous) 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gutiérrez-Roig, Mario Gracia Lázaro, Carlos (orcid)0000-0002-9769-8796 Vicens, Julian Gómez-Gardeñes, Jesús Universidad de Zaragoza (orcid)0000-0001-5204-1937 Perelló, Josep Moreno, Yamir Universidad de Zaragoza (orcid)0000-0002-0895-1893 Duch, Jordi Sánchez, Angel 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 2003 395 Universidad de Zaragoza Dpto. Física Materia Condensa. Área Física Materia Condensada 2, 8 (2016), e1600451 Sci. Science 0036-8075 393668 http://zaguan.unizar.es/record/61537/files/texto_completo.pdf Versión publicada 137563 http://zaguan.unizar.es/record/61537/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:61537 articulos driver 2025-06-19-08:41:24 ARTICLE