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On Adaptive Heuristics that Converge to Correlated Equilibrium

Bert W. Wasserman Department of Economics and Finance, Zicklin School of Business, Baruch College, The City University of New York, New York, NY 10010, USA
Received: 21 October 2018 / Revised: 6 January 2019 / Accepted: 14 January 2019 / Published: 22 January 2019
I study the path properties of adaptive heuristics that mimic the natural dynamics of play in a game and converge to the set of correlated equilibria. Despite their apparent differences, I show that these heuristics have an abstract representation as a sequence of probability distributions that satisfy a number of common properties. These properties arise due to the topological structure of the set of correlated equilibria. The characterizations that I obtain have useful applications in the study of the convergence of the heuristics. View Full-Text
Keywords: adaptive heuristics; correlated equilibrium; convergence; repeated games; algorithmic play adaptive heuristics; correlated equilibrium; convergence; repeated games; algorithmic play
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MDPI and ACS Style

Bhattacharya, A. On Adaptive Heuristics that Converge to Correlated Equilibrium. Games 2019, 10, 6. https://0-doi-org.brum.beds.ac.uk/10.3390/g10010006

AMA Style

Bhattacharya A. On Adaptive Heuristics that Converge to Correlated Equilibrium. Games. 2019; 10(1):6. https://0-doi-org.brum.beds.ac.uk/10.3390/g10010006

Chicago/Turabian Style

Bhattacharya, Ayan. 2019. "On Adaptive Heuristics that Converge to Correlated Equilibrium" Games 10, no. 1: 6. https://0-doi-org.brum.beds.ac.uk/10.3390/g10010006

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