Computational behavioral models in public goods games with migration between groups

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dc.contributor.author Tomassini, Marco
dc.contributor.author Antonioni, Alberto
dc.date.accessioned 2022-05-05T09:24:12Z
dc.date.available 2022-05-05T09:24:12Z
dc.date.issued 2021-12
dc.identifier.bibliographicCitation Tomassini, M., & Antonioni, A. (2021). Computational behavioral models in public goods games with migration between groups. In Journal of Physics: Complexity (Vol. 2, Issue 4, p. 045013). IOP Publishing.
dc.identifier.issn 2632-072X
dc.identifier.uri http://hdl.handle.net/10016/34700
dc.description.abstract In this study we have simulated numerically two models of linear public goods games where players are equally distributed among a given number of groups. Agents play in their group by using two simple sets of rules, called ‘blind’ and ‘rational’ model, respectively, that are inspired by the observed behavior of human participants in laboratory experiments. In addition, unsatisfied agents have the option of leaving their group and migrating to a new random one through probabilistic choices. Stochasticity, and the introduction of two types of players in the blind model, help simulate the heterogeneous behavior that is often observed in experimental work. Our numerical simulations of the corresponding dynamical systems show that being able to leave a group when unsatisfied favors contribution and avoids free-riding to a good extent in a range of the enhancement factor where defection would prevail without migration. Our numerical simulation presents results that are qualitatively in line with known experimental data when human agents are given the same kind of information about themselves and the other players in the group. This is usually not the case with customary mathematical models based on replicator dynamics or stochastic approaches. As a consequence, models like the ones described here may be useful for understanding experimental results and also for designing new experiments by first running cheap computational simulations instead of doing costly preliminary laboratory work. The downside is that models and their simulation tend to be less general than standard mathematical approaches.
dc.description.sponsorship A A acknowledges the financial support of the Spanish Ministry of Science and Innovation under the Grant No. IJC2019-040967-I.
dc.format.extent 13
dc.language.iso eng
dc.publisher In Journal of Physics: Complexity
dc.rights © 2021 The Author(s).
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Behavioral models
dc.subject.other Cooperation
dc.subject.other Migration
dc.subject.other Public goods game
dc.title Computational behavioral models in public goods games with migration between groups
dc.type article
dc.subject.eciencia Matemáticas
dc.identifier.doi https://doi.org/10.1088/2632-072x/ac371b
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. IJC2019-040967-I
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 4
dc.identifier.publicationlastpage 13
dc.identifier.publicationtitle Journal of Physics: Complexity
dc.identifier.publicationvolume 2
dc.identifier.uxxi AR/0000030509
dc.contributor.funder Ministerio de Ciencia e Innovación (España)
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