Autor segons l'article: Cobo-López S, Godoy-Lorite A, Duch J, Sales-Pardo M, Guimerà R
Departament: Enginyeria Informàtica i Matemàtiques Enginyeria Química
Autor/s de la URV: Duch Gavaldà, Jordi / Guimera Manrique, Roger / Sales Pardo, Marta
Paraules clau: Systems Stochastic block model Statistical inference Stag hunt game Social dilemmas Snowdrift game Prisoner’s dilemma Prisoner's dilemma Mixed-strategy equilibria Mixed-membership stochastic block model Harmony game Behavioural phenotypes
Resum: Advancing our understanding of human behavior hinges on the ability of theories to unveil the mechanisms underlying such behaviors. Measuring the ability of theories and models to predict unobserved behaviors provides a principled method to evaluate their merit and, thus, to help establish which mechanisms are most plausible. Here, we propose models and develop rigorous inference approaches to predict strategic decisions in dyadic social dilemmas. In particular, we use bipartite stochastic block models that incorporate information about the dilemmas faced by individuals. We show, combining these models with empirical data on strategic decisions in dyadic social dilemmas, that individual strategic decisions are to a large extent predictable, despite not being 'rational.' The analysis of these models also allows us to conclude that: (i) individuals do not perceive games according their game-theoretical structure; (ii) individuals make decisions using combinations of multiple simple strategies, which our approach reveals naturally.
Àrees temàtiques: Social sciences, mathematical methods Modeling and simulation Mathematics, interdisciplinary applications Engenharias iv Engenharias i Computer science applications Computational mathematics Ciencias sociales Ciência da computação
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 21931127
Adreça de correu electrònic de l'autor: roger.guimera@urv.cat marta.sales@urv.cat jordi.duch@urv.cat
Identificador de l'autor: 0000-0002-3597-4310 0000-0002-8140-6525 0000-0003-2639-6333
Data d'alta del registre: 2023-02-18
Volum de revista: 7
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-018-0175-3
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Epj Data Science. 7 (1):
Referència de l'ítem segons les normes APA: Cobo-López S, Godoy-Lorite A, Duch J, Sales-Pardo M, Guimerà R (2018). Optimal prediction of decisions and model selection in social dilemmas using block models. Epj Data Science, 7(1), -. DOI: 10.1140/epjds/s13688-018-0175-3
DOI de l'article: 10.1140/epjds/s13688-018-0175-3
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2018
Pàgina inicial: Article number 48
Tipus de publicació: Journal Publications
Repositori URV