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Minority Game - Experiments and Simulations of Traffic Scenarios

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  • Thorsten Chmura
  • Thomas Pitz

Abstract

This paper reports laboratory experiments and simulations on a minority game. The minority game is the most important example for a classic non-zerosum- game. The game can be applied on different situations with social and economic contests. We chose an elementary traffic scenario, in which subjects had to choose between a road A and a road B. Nine subjects participated in each session. Subjects played 100 rounds and had to choose between one of the roads. The road which the minority of players chose got positive payoffs. We constructed an extended reinforcement model which fits the empirical data.

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File URL: http://www.wiwi.uni-bonn.de/bgsepapers/bonedp/bgse23_2004.pdf
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Bibliographic Info

Paper provided by University of Bonn, Germany in its series Bonn Econ Discussion Papers with number bgse23_2004.

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Length: 15
Date of creation: Dec 2004
Date of revision:
Handle: RePEc:bon:bonedp:bgse23_2004

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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

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  1. Challet, Damien & Zhang, Yi-Cheng, 1998. "On the minority game: Analytical and numerical studies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 256(3), pages 514-532.
  2. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-11, May.
  3. Reinhard Selten & M. Schreckenberg & Thomas Pitz & T. Chmura & S. Kube, 2003. "Experiments and Simulations on Day-to-Day Route Choice-Behaviour," CESifo Working Paper Series 900, CESifo Group Munich.
  4. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-59, May.
  5. 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.
  6. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
  7. 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.
  8. Johnson, N.F. & Jarvis, S. & Jonson, R. & Cheung, P. & Kwong, Y.R. & Hui, P.M., 1998. "Volatility and agent adaptability in a self-organizing market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 258(1), pages 230-236.
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Cited by:
  1. 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.
  2. Kets, W., 2007. "The Minority Game: An Economics Perspective," Discussion Paper 2007-53, Tilburg University, Center for Economic Research.
  3. Hartman, John Lawrence, 2007. "Essays on Congestion Economics," University of California Transportation Center, Working Papers qt40p4m581, University of California Transportation Center.
  4. 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.

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