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

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  • Thorsten Chmura

    ()

  • Thomas Pitz

    ()

Abstract

The paper reports simulations applied on two similar congestion games: the first is the classical minority game. The second one is an 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 player's behaviour.

Suggested Citation

  • Thorsten Chmura & Thomas Pitz, 2007. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Experimental Congestion Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-1.
  • Handle: RePEc:jas:jasssj:2006-47-3
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    File URL: http://jasss.soc.surrey.ac.uk/10/2/1/1.pdf
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    References listed on IDEAS

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    1. Jean-Fran├žois Laslier & Bernard Walliser, 2005. "A reinforcement learning process in extensive form games," International Journal of Game Theory, Springer;Game Theory Society, vol. 33(2), pages 219-227, June.
    2. Chmura, T. & Pitz, T., 2006. "Successful strategies in repeated minority games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 477-480.
    3. 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.
    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 353-359, May.
    5. 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.
    6. 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.
    7. 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.
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    Cited by:

    1. Epstein, Daniel & Bazzan, Ana L.C., 2013. "The value of less connected agents in Boolean networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5387-5398.
    2. Scott Moss, 2007. "Alternative Approaches to the Empirical Validation of Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-5.

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