Author, as appears in the article.: Cobo-López S, Godoy-Lorite A, Duch J, Sales-Pardo M, Guimerà R

Department: Enginyeria Informàtica i Matemàtiques Enginyeria Química

URV's Author/s: Duch Gavaldà, Jordi / Guimera Manrique, Roger / Sales Pardo, Marta

Keywords: 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

Abstract: 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.

Thematic Areas: Social sciences, mathematical methods Modeling and simulation Mathematics, interdisciplinary applications Engenharias iv Engenharias i Computer science applications Computational mathematics Ciencias sociales Ciência da computação

licence for use: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 21931127

Author's mail: roger.guimera@urv.cat marta.sales@urv.cat jordi.duch@urv.cat

Author identifier: 0000-0002-3597-4310 0000-0002-8140-6525 0000-0003-2639-6333

Record's date: 2023-02-18

Journal volume: 7

Papper version: info:eu-repo/semantics/publishedVersion

Link to the original source: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-018-0175-3

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Epj Data Science. 7 (1):

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

Article's DOI: 10.1140/epjds/s13688-018-0175-3

Entity: Universitat Rovira i Virgili

Journal publication year: 2018

First page: Article number 48

Publication Type: Journal Publications