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An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games

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  • Chmura, Thorsten
  • Pitz, Thomas

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.

Suggested Citation

  • Chmura, Thorsten & Pitz, Thomas, 2004. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games," Bonn Econ Discussion Papers 24/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
    • Handle: RePEc:zbw:bonedp:242004
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    References listed on IDEAS

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    1. 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 848-881, September.
    2. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    3. 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 353-359, May.
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    Citations

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    Cited by:

    1. John Hartman, 2012. "Special Issue on Transport Infrastructure: A Route Choice Experiment with an Efficient Toll," Networks and Spatial Economics, Springer, vol. 12(2), pages 205-222, June.
    2. Hartman, John Lawrence, 2007. "Essays on Congestion Economics," University of California Transportation Center, Working Papers qt40p4m581, University of California Transportation Center.
    3. Innocenti, Alessandro & Lattarulo, Patrizia & Pazienza, Maria Grazia, 2013. "Car stickiness: Heuristics and biases in travel choice," Transport Policy, Elsevier, vol. 25(C), pages 158-168.
    4. 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.
    5. 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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    More about this item

    Keywords

    congestion game; minority game; laboratory experiments; reinforcement algorithm; payoff sum model;
    All these keywords.

    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 Economics

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