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Modeling the Evolution of Political Ideologies
dc.contributor.author | Abeliuk, Andrés | |
dc.contributor.author | Fernández Anta, Antonio | |
dc.contributor.author | Obradovich, Nick | |
dc.contributor.author | Rahwan, Iyad | |
dc.date.accessioned | 2021-07-13T09:31:11Z | |
dc.date.available | 2021-07-13T09:31:11Z | |
dc.date.issued | 2017-07-10 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12761/457 | |
dc.description.abstract | Our work intends to shed new insights into the debate of polarization by using a multidisciplinary approach that applies Evolutionary Game Theory to study the evolution of public ideology in US. In particular, we use the replicator equation to model political ideology as a dynamic game, where strategies reproduce at a rate proportional to their payoffs. Evolutionary game theory has explicit biological roots, where payoffs represent fitness as the underlying process of natural selection. However, these models can also be thought of as models of cultural evolution. | |
dc.language.iso | eng | |
dc.title | Modeling the Evolution of Political Ideologies | en |
dc.type | conference object | |
dc.conference.date | 10-13 July 2017 | |
dc.conference.place | Cologne, Germany | |
dc.conference.title | The 3rd Annual International Conference on Computational Social Science (IC2S2 2017) | * |
dc.event.type | conference | |
dc.pres.type | poster | |
dc.type.hasVersion | VoR | |
dc.rights.accessRights | open access | |
dc.description.refereed | TRUE | |
dc.description.status | pub | |
dc.eprint.id | http://eprints.networks.imdea.org/id/eprint/1684 |