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Computational Behavioral Models for Public Goods Games on Social Networks

1
Faculty of Business and Economics, University of Lausanne, 1015 Lausanne, Switzerland
2
Grupo Interdisciplinar de Sistemas Complejos (GISC), Departamento de Matematicás, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain
*
Author to whom correspondence should be addressed.
Games 2019, 10(3), 35; https://doi.org/10.3390/g10030035
Received: 11 June 2019 / Revised: 19 August 2019 / Accepted: 29 August 2019 / Published: 2 September 2019
(This article belongs to the Special Issue Behavioral Game Theory: Theory and Experiments)
Cooperation is a fundamental aspect of well-organized societies and public good games are a useful metaphor for modeling cooperative behavior in the presence of strong incentives to free ride. Usually, social agents interact to play a public good game through network structures. Here, we use social network structures and computational agent rules inspired by recent experimental work in order to develop models of agent behavior playing public goods games. The results of our numerical simulations based on a couple of simple models show that agents behave in a manner qualitatively similar to what has been observed experimentally. Computational models such as those presented here are very useful to interpret observed behavior and to enhance computationally the limited variation that is possible in the experimental domain. By assuming a priori reasonable individual behaviors, the easiness of running simulations could also facilitate exploration prior to any experimental work in order to vary and estimate a number of key parameters that would be very difficult, if not impossible, to change during the actual experiment. View Full-Text
Keywords: public goods games; social networks; agent-based models public goods games; social networks; agent-based models
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Tomassini, M.; Antonioni, A. Computational Behavioral Models for Public Goods Games on Social Networks. Games 2019, 10, 35.

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