Network formation in repeated interactions: experimental evidence on dynamic behaviour [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Mind and Society 9 (2):193-228 (2010)
Here, we present some experiments of non-cooperative games of network formation based on Bala and Goyal (Econometrica 68:1181–1229, 2000 ). We have looked at the one-way and the two-way flow models, each for high and low link costs. The models come up with both multiple equilibria and coordination problems. We conducted the experiments under various conditions which allowed for repeated interactions between subjects. We found that coordination on non-empty Strict Nash equilibria was not an easy task to achieve, even in the one-way model where the Strict Nash equilibria are wheels. We found some evidence of convergence to equilibrium networks through learning dynamics, while we found no effect of salient labels to help coordination. The evidence on learning behavior provides support for subjects that were choosing strategies in line with various learning rules, principally Reinforcement and Fictitious Play
|Keywords||Experiments Networks Behavioral game theory Learning dynamics|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Simon M. Huttegger, Brian Skyrms & Kevin J. S. Zollman (2013). Probe and Adjust in Information Transfer Games. Erkenntnis:1-19.
Federica Alberti, Experimental Evidence of the Emergence of Aesthetic Rules in Pure Coordination Games.
Ramamohan Paturi, Mathew D. McCubbins & Nicholas Weller, Networked Coordination: Effect of Network Structure Human Subjects' Ability to Solve Coordination Problem.
Walter Elberfeld (2000). An Analysis of Stability Sets in Pure Coordination Games. Theory and Decision 49 (3):235-248.
Brian Skyrms (2002). Signals, Evolution and the Explanatory Power of Transient Information. Philosophy of Science 69 (3):407-428.
Ichiro Tsuda (2001). Toward an Interpretation of Dynamic Neural Activity in Terms of Chaotic Dynamical Systems. Behavioral and Brain Sciences 24 (5):793-810.
Sammy Perone & John P. Spencer (2013). Autonomy in Action: Linking the Act of Looking to Memory Formation in Infancy Via Dynamic Neural Fields. Cognitive Science 37 (1):1-60.
Robert Hoffmann (1999). The Independent Localisations of Interaction and Learning in the Repeated Prisoner's Dilemma. Theory and Decision 47 (1):57-72.
Brian Skyrms, Raffaele Argiento, Robin Pemantle & and Stanislav Volkov, Learning to Signal: Analysis of a Micro-Level Reinforcement Model.
Peter Vanderschraaf & Brian Skyrms (2003). Learning to Take Turns. Erkenntnis 59 (3):311 - 348.
Added to index2011-11-19
Total downloads2 ( #373,409 of 1,167,998 )
Recent downloads (6 months)1 ( #140,193 of 1,167,998 )
How can I increase my downloads?