Cooperation on dynamic networks within an uncertain reputation environment
Détails
Télécharger: 29904185_BIB_1169882AD47F.pdf (1897.22 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_1169882AD47F
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Compte-rendu: analyse d'une oeuvre publiée.
Collection
Publications
Institution
Titre
Cooperation on dynamic networks within an uncertain reputation environment
Périodique
Scientific Reports
ISSN
2045-2322
Statut éditorial
Publié
Date de publication
12/2018
Peer-reviewed
Oui
Volume
8
Numéro
1
Pages
9093
Langue
anglais
Résumé
Reputation plays a key role among the mechanisms supporting cooperation in our society. This is a well-known observation and, in fact, several studies have shown that reputation may substantially increase cooperation among subjects playing Prisoner’s Dilemma games in the laboratory. Unfortunately, recent experiments indicate that when reputation can be faked cooperation can still be maintained at the expense of honest subjects who are deceived by the dishonest ones. As experimental work is limited due to financial and other reasons, we present here an agent-based simulation model inspired by, and calibrated against, the results obtained in the experiment. We thus simulate much larger population sizes over longer times, and test other model parameters to see whether the observed behavior generalizes in those yet untried conditions. The results show that the collective behavior is qualitatively similar in larger systems and stable over longer times horizons. We conclude that the findings of the experimental work are meaningful, taking into account that the model is strictly tailored to our particular experimental setting and therefore it is a possible explanation of our observations whose applicability to other contexts requires further research. We argue that simulations like the ones presented here may also be useful to cheaply and quickly suggest settings and options to enhance and facilitate further experiments, which, in turn, may provide new tests of the models themselves.
Web of science
Open Access
Oui
Création de la notice
16/06/2018 13:58
Dernière modification de la notice
20/08/2019 12:39