dc.contributor.author
Vilà, Xavier
dc.contributor.author
Universitat Autònoma de Barcelona. Unitat de Fonaments de l'Anàlisi Econòmica
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Institut d'Anàlisi Econòmica
dc.identifier
https://ddd.uab.cat/record/45345
dc.identifier
urn:oai:ddd.uab.cat:45345
dc.description.abstract
We study the properties of the well known Replicator Dynamics when applied to a finitely repeated version of the Prisoners' Dilemma game. We characterize the behavior of such dynamics under strongly simplifying assumptions (i.e. only 3 strategies are available) and show that the basin of attraction of defection shrinks as the number of repetitions increases. After discussing the difficulties involved in trying to relax the 'strongly simplifying assumptions' above, we approach the same model by means of simulations based on genetic algorithms. The resulting simulations describe a behavior of the system very close to the one predicted by the replicator dynamics without imposing any of the assumptions of the analytical model. Our main conclusion is that analytical and computational models are good complements for research in social sciences. Indeed, while on the one hand computational models are extremely useful to extend the scope of the analysis to complex scenar
dc.format
application/pdf
dc.relation
Departament d'Economia i d'Història Econòmica. Unitat de Fonaments de l'Anàlisi Econòmica / Institut d'Anàlisi Econòmica (CSIC). Working papers ;
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
dc.rights
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Jocs, Teoria de
dc.title
A Model-to-model analysis of the repeated Prisoners' Dilemma : genetic algorithms vs. evolutionary dynamics
