An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games
Abstract
The paper reports simulations applied on two similar congestion games: the first is the classical minority game. The second one is a asymmetric variation of the minority game with linear payoff functions. For each game simulation results based on an extended reinforcement algorithm are compared with real experimental statistics. It is shown that the extension of the reinforcement model is essential for fitting the experimental data and estimating the players behaviour.Download Info
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Paper provided by University of Bonn, Germany in its series Bonn Econ Discussion Papers with number bgse24_2004.Length: 19
Date of creation: Dec 2004
Date of revision:
Handle: RePEc:bon:bonedp:bgse24_2004
Contact details of provider:
Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany
Fax: +49 228 73 6884
Web page: http://www.bgse.uni-bonn.de/index.php?id=494
Related research
Keywords: congestion game; minority game; laboratory experiments; reinforcement algorithm; payoff sum model;Find related papers by JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-01-16 (All new papers)
- NEP-CBE-2005-01-16 (Cognitive & Behavioural Economics)
- NEP-EVO-2005-01-16 (Evolutionary Economics)
- NEP-EXP-2005-01-16 (Experimental Economics)
- NEP-GTH-2005-01-16 (Game Theory)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September.
- A. Roth & I. Er’ev, 2010. "Learning in Extensive Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Run," Levine's Working Paper Archive 387, David K. Levine.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Hartman, John Lawrence, 2007. "The Relevance of Heterogeneity in a Congested Route Network with Tolls: An Analysis of Two Experiments Using Actual Waiting Times and Monetized Time Costs," University of California at Santa Barbara, Economics Working Paper Series qt22b46341, Department of Economics, UC Santa Barbara.
- Hartman, John Lawrence, 2007. "A Route Choice Experiment With an Efficient Toll," University of California at Santa Barbara, Economics Working Paper Series qt4s1116mv, Department of Economics, UC Santa Barbara.
- Hartman, John Lawrence, 2007. "Essays on Congestion Economics," University of California Transportation Center, Working Papers qt40p4m581, University of California Transportation Center.
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