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Minority Game - Experiments and Simulations of Traffic Scenarios

  • Thorsten Chmura
  • Thomas Pitz

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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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
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

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  1. 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.
  2. 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.
  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. 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.
  5. 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.
  6. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-11, May.
  7. 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.
  8. 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.
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