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Stochastic Collusion and the Power Law of Learning

A General Reinforcement Learning Model of Cooperation

Bibliographic Data

ID6284716
AuthorsAndreas Flache (0000-0002-8276-8819, Department of Sociology University of Groningen, the Netherlands), Michael W Macy (0000-0003-0024-5027, Department of Sociology Cornell University)
Year2002
Volume46
Issue5
Pages629-653
Publication date2002-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Conflict Resolution (JOURNAL)
Journal identifiersISSN: 0022-0027 • E-ISSN: 1552-8766
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/002200202236167
OpenAlexW2138420404
LanguageEN
Citations received11
References cited30

Concerns about models of cultural adaptation as analogs of genetic selection have led cognitive game theorists to explore learning-theoretic specifications. Two prominent examples, the Bush-Mosteller stochastic learning model and the Roth-Erev payoff-matching model, are aligned and integrated as special cases of a general reinforcement learning model. Both models predict stochastic collusion as a backward-looking solution to the problem of cooperation in social dilemmas based on a random walk into a self-reinforcing cooperative equilibrium. The integration uncovers hidden assumptions that constrain the generality of the theoretical derivations. Specifically, Roth and Erev assume a “power law of learning”—the curious but plausible tendency for learning to diminish with success and intensify with failure. Computer simulation is used to explore the effects on stochastic collusion in three social dilemma games. The analysis shows how the integration of alternative models can uncover underlying principles and lead to a more general theory

Collusion · Dilemma · Economics · Epistemology · Generality · Management · Matching (statistics · Mathematical economics · Microeconomics · Reinforcement learning · Social dilemma · Stochastic game · Artificial Intelligence · Computer Science · Culture, Economy, and Development Studies · Evolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Mathematics

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Unique citing works11
Citations per year0,55
Citation span2006 - 2026 (21)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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