Learning Dynamics and Norm Psychology Supports Human Cooperation in a Large-Scale Prisoner’s Dilemma on Networks
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Instituto de Matemáticas Aplicadas, Universidad de Cartagena, 130001 Bolívar, Colombia
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LABSS (Laboratory of Agent Based Social Simulation), Institute of Cognitive Science and Technology, National Research Council (CNR), 00185 Rome, Italy
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Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matemáticas, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain
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School of Education, Culture and Communication, Mälardalens University, 722 20 Vasteras, Sweden
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Institute for Futures Studies, 101 31 Stockholm, Sweden
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Department of Informatics, Brandenburg University of Technology, 03046 Cottbus, Germany
*
Author to whom correspondence should be addressed.
Games 2018, 9(4), 90; https://doi.org/10.3390/g9040090
Received: 25 September 2018
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Revised: 25 October 2018
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Accepted: 30 October 2018
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Published: 2 November 2018
(This article belongs to the Special Issue Games on Networks: From Theory to Experiments)
In this work, we explore the role of learning dynamics and social norms in human cooperation on networks. We study the model recently introduced in [Physical Review E, 97, 042321 (2018)] that integrates the well-studied Experience Weighted Attraction learning model with some features characterizing human norm psychology, namely the set of cognitive abilities humans have evolved to deal with social norms. We provide further evidence that this extended model—that we refer to as Experience Weighted Attraction with Norm Psychology—closely reproduces cooperative patterns of behavior observed in large-scale experiments with humans. In particular, we provide additional support for the finding that, when deciding to cooperate, humans balance between the choice that returns higher payoffs with the choice in agreement with social norms. In our experiment, agents play a prisoner’s dilemma game on various network structures: (i) a static lattice where agents have a fixed position; (ii) a regular random network where agents have a fixed position; and (iii) a dynamic lattice where agents are randomly re-positioned at each game iteration. Our results show that the network structure does not affect the dynamics of cooperation, which corroborates results of prior laboratory experiments. However, the network structure does seem to affect how individuals balance between their self-interested and normative choices.
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Keywords:
cooperation; social norms; learning mechanisms; network reciprocity; computer simulations; laboratory experiments
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MDPI and ACS Style
Realpe-Gómez, J.; Vilone, D.; Andrighetto, G.; Nardin, L.G.; Montoya, J.A. Learning Dynamics and Norm Psychology Supports Human Cooperation in a Large-Scale Prisoner’s Dilemma on Networks. Games 2018, 9, 90. https://doi.org/10.3390/g9040090
AMA Style
Realpe-Gómez J, Vilone D, Andrighetto G, Nardin LG, Montoya JA. Learning Dynamics and Norm Psychology Supports Human Cooperation in a Large-Scale Prisoner’s Dilemma on Networks. Games. 2018; 9(4):90. https://doi.org/10.3390/g9040090
Chicago/Turabian StyleRealpe-Gómez, John, Daniele Vilone, Giulia Andrighetto, Luis G. Nardin, and Javier A. Montoya. 2018. "Learning Dynamics and Norm Psychology Supports Human Cooperation in a Large-Scale Prisoner’s Dilemma on Networks" Games 9, no. 4: 90. https://doi.org/10.3390/g9040090
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