Mostrar el registro sencillo del ítem
dc.contributor.author | Izquierdo, Luis R. | |
dc.contributor.author | Izquierdo Millán, Segismundo Samuel | |
dc.contributor.author | Sandholm, William H. | |
dc.date.accessioned | 2021-02-11T08:22:28Z | |
dc.date.available | 2021-02-11T08:22:28Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Games and Economic Behavior 118, 434-462. | es |
dc.identifier.issn | 0899-8256 | es |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/45246 | |
dc.description | Producción Científica | es |
dc.description.abstract | ABED is free and open-source software for simulating evolutionary game dynamics in finite populations. We explain how ABED can be used to simulate a wide range of dynamics considered in the literature and many novel dynamics. In doing so, we introduce a general model of revisions for dynamic evolutionary models, one that decomposes strategy updates into selection of candidate strategies, payoff determination, and choice among candidates. Using examples, we explore ways in which simulations can complement theory in increasing our understanding of strategic interactions in finite populations. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es |
dc.title | An introduction to ABED: Agent-based simulation of evolutionary game dynamics | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | Elsevier | es |
dc.identifier.doi | 10.1016/j.geb.2019.09.014 | es |
dc.relation.publisherversion | https://doi.org/10.1016/j.geb.2019.09.014 | es |
dc.identifier.publicationfirstpage | 434 | es |
dc.identifier.publicationlastpage | 462 | es |
dc.identifier.publicationtitle | Games and Economic Behavior | es |
dc.identifier.publicationvolume | 118 | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Educación, Cultura, y Deporte (Grants PRX15/00362 and PRX16/00048) | es |
dc.description.project | FEDER/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación/ _Proyecto ECO2017-83147- C2-2-P. | es |
dc.description.project | U.S. National Science Foundation (Grants SES-1458992 and SES1728853) | es |
dc.description.project | U.S. Army Research Office (Grant MSN201957) | es |
dc.type.hasVersion | info:eu-repo/semantics/submittedVersion | es |