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Erschienen in: Journal of Economic Interaction and Coordination 3/2018

09.04.2017 | Regular Article

The economics analysis of a Q-learning model of cooperation with punishment and risk taking preferences

verfasst von: Nazaria Solferino, Viviana Solferino, Serena F. Taurino

Erschienen in: Journal of Economic Interaction and Coordination | Ausgabe 3/2018

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Abstract

The aim of this paper is to better understand how cooperation mechanisms work in the context of a Q-learning model. We apply a learning reinforcement model to analyse the conditions needed to have a stable cooperative equilibrium when people take part in a common project and could take advantages of free-riding. Our results show that a stable equilibrium can be reached thank to mechanisms of punishment, but the final result strongly depends on the risk-taking individuals’ preferences. In particular, we find that the penalties will be effective only with people having high exploration rates,namely with people able to adapt their strategies and learn to cooperate. Otherwise, it is possible to have an unstable equilibrium with cooperation until individuals have a very high intrinsic motivation to cooperate, whatever the others do.

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Fußnoten
1
In this work for the sake of simplicity we do not consider a forward looking analysis as well. In fact for the purpose of the work we are just interested in detecting players’ strategies when the agents can free-ride, aware that they may earn a sufficiently consistent future reward from the production of that common good.
 
2
For some theory literature that exists on the convergence to or not to Nash equilibrium in reinforcement learning models and exploration-based model see for example Beggs (2005) and Young (2009).
 
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Metadaten
Titel
The economics analysis of a Q-learning model of cooperation with punishment and risk taking preferences
verfasst von
Nazaria Solferino
Viviana Solferino
Serena F. Taurino
Publikationsdatum
09.04.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Economic Interaction and Coordination / Ausgabe 3/2018
Print ISSN: 1860-711X
Elektronische ISSN: 1860-7128
DOI
https://doi.org/10.1007/s11403-017-0195-2

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