Public Goods Games on Coevolving Social Network Models

Public good games are a metaphor for modeling cooperative behavior in groups in the presence of incentives to free ride. In the model presented here agents play a public good game with their neighbors in a social network structure. Agents' decision rules in our model are inspired by elementary...

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Main Authors: Marco Tomassini, Alberto Antonioni
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2020.00058/full
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author Marco Tomassini
Alberto Antonioni
author_facet Marco Tomassini
Alberto Antonioni
author_sort Marco Tomassini
collection DOAJ
description Public good games are a metaphor for modeling cooperative behavior in groups in the presence of incentives to free ride. In the model presented here agents play a public good game with their neighbors in a social network structure. Agents' decision rules in our model are inspired by elementary learning observed in laboratory and online behavioral experiments involving human participants with the same amount of information, i.e., when individuals only know their own current contribution and their own cumulated payoff. In addition, agents in the model are allowed to severe links with groups in which their payoff is lower and create links to a new randomly chosen group. Reinforcing the results obtained in network scenarios where agents play Prisoner's Dilemma games, we show that thanks to this relinking possibility, the whole system reaches higher levels of average contribution with respect to the case in which the network cannot change. Our setup opens new frameworks to be investigated, and potentially confirmed, through controlled human experiments.
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spelling doaj.art-b4512954283646da846b4b07aa99ccb32022-12-22T00:09:38ZengFrontiers Media S.A.Frontiers in Physics2296-424X2020-03-01810.3389/fphy.2020.00058515259Public Goods Games on Coevolving Social Network ModelsMarco Tomassini0Alberto Antonioni1Department of Information Systems, University of Lausanne, Lausanne, SwitzerlandComplex Systems Interdisciplinary Group (GISC), Department of Mathematics, Carlos III University of Madrid, Getafe, SpainPublic good games are a metaphor for modeling cooperative behavior in groups in the presence of incentives to free ride. In the model presented here agents play a public good game with their neighbors in a social network structure. Agents' decision rules in our model are inspired by elementary learning observed in laboratory and online behavioral experiments involving human participants with the same amount of information, i.e., when individuals only know their own current contribution and their own cumulated payoff. In addition, agents in the model are allowed to severe links with groups in which their payoff is lower and create links to a new randomly chosen group. Reinforcing the results obtained in network scenarios where agents play Prisoner's Dilemma games, we show that thanks to this relinking possibility, the whole system reaches higher levels of average contribution with respect to the case in which the network cannot change. Our setup opens new frameworks to be investigated, and potentially confirmed, through controlled human experiments.https://www.frontiersin.org/article/10.3389/fphy.2020.00058/fullcooperationPGGdynamic networkssocial networkssimulation model
spellingShingle Marco Tomassini
Alberto Antonioni
Public Goods Games on Coevolving Social Network Models
Frontiers in Physics
cooperation
PGG
dynamic networks
social networks
simulation model
title Public Goods Games on Coevolving Social Network Models
title_full Public Goods Games on Coevolving Social Network Models
title_fullStr Public Goods Games on Coevolving Social Network Models
title_full_unstemmed Public Goods Games on Coevolving Social Network Models
title_short Public Goods Games on Coevolving Social Network Models
title_sort public goods games on coevolving social network models
topic cooperation
PGG
dynamic networks
social networks
simulation model
url https://www.frontiersin.org/article/10.3389/fphy.2020.00058/full
work_keys_str_mv AT marcotomassini publicgoodsgamesoncoevolvingsocialnetworkmodels
AT albertoantonioni publicgoodsgamesoncoevolvingsocialnetworkmodels