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Revisiting the El Farol Problem: A Cognitive Modeling Approach

  • Conference paper
Multi-Agent-Based Simulation XIII (MABS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7838))

Abstract

Decentralized market economies are complex systems that involve large numbers of heterogeneous participants. A good abstraction of this scenario is illustrated by the El Farol problem. In this problem, there is a bar with a fixed capacity and a given number of participants need to choose between either stay at home or go to the bar. However, if the attendance is above or equals the capacity of the bar, it becomes too crowded and the participants who attended did not have fun. In this paper we provide insight into the behaviour of the participants in those decentralized market economies scenarios by using a cognitive modelling approach in the El Farol problem. In three computer experiments we investigate, compare, and discuss a number of features of our agent-based model namely the relationship between beliefs and strategies, emotions of cognitive agents, as well as other aspects of market dynamics.

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References

  1. Arthur, W.B.: Inductive reasoning and bounded rationality. The American Economic Review 84(2), 406–411 (1994)

    Google Scholar 

  2. Baddeley, A., Eysenck, M., Anderson, M.C.: Memory, 1st edn. Psychology Press (February 2009)

    Google Scholar 

  3. Bratman, M., Israel, D., Pollack, M.: Plans and resource-bounded practical reasoning. Computational Intelligence 4(3), 349–355 (1988)

    Article  Google Scholar 

  4. Challet, D., Zhang, Y.C.: Emergence of cooperation and organization in an evolutionary game. Physica A: Statistical and Theoretical Physics 246(3-4), 407–418 (1997)

    Article  Google Scholar 

  5. Challet, D., Marsili, M., Ottino, G.: Shedding light on el farol. Physica A: Statistical Mechanics and its Applications 332, 469–482 (2004)

    Article  MathSciNet  Google Scholar 

  6. Chiodo, A., Guidolin, M., Owyang, M.T., Shimoji, M.: Subjective probabilities: psychological evidence and economic applications. Technical report, Federal Reserve Bank of St. Louis (2003)

    Google Scholar 

  7. Cont, R.: Empirical properties of asset returns: stylized facts and statistical issues. Quantitative Finance 1(2), 223 (2001)

    Article  Google Scholar 

  8. Conway, M.A.: Episodic memories. Neuropsychologia 47(11), 2305–2313 (2009)

    Article  Google Scholar 

  9. Cross, R., Grinfeld, M., Lamba, H., Seaman, T.: A threshold model of investor psychology. Physica A: Statistical Mechanics and its Applications 354, 463–478 (2005)

    Article  Google Scholar 

  10. Fama, E.F.: Efficient capital markets: A review of theory and empirical work. The Journal of Finance 25(2), 383–417 (1970)

    Article  Google Scholar 

  11. Farmer, J.D., Foley, D.: The economy needs agent-based modelling. Nature 460(7256), 685–686 (2009)

    Article  Google Scholar 

  12. Griffin, D., Tversky, A.: The weighing of evidence and the determinants of confidence. Cognitive Psychology 24(3), 411–435 (1992)

    Article  Google Scholar 

  13. Kahneman, D., Tversky, A.: Intuitive prediction: Biases and corrective procedures. Management Science 12, 313–327 (1979)

    Google Scholar 

  14. Kahneman, D., Tversky, A.: Prospect theory: An analysis of decision under risk. Econometrica 47(2), 263–291 (1979)

    Article  MATH  Google Scholar 

  15. Lazarus, R.S.: Emotion and Adaptation. Oxford University Press, New York (1991)

    Google Scholar 

  16. LeBaron, B.: A builder’s guide to agent-based financial markets. Quantitative Finance 1(2), 254 (2001)

    Article  Google Scholar 

  17. Lo, A.W.: The adaptive markets hypothesis: Market efficiency from an evolutionary perspective. Journal of Portfolio Management, 15–29 (2004)

    Google Scholar 

  18. Lorini, E., Castelfranchi, C.: The unexpected aspects of surprise. International Journal of Pattern Recognition and Artificial Intelligence, 817–835 (2006)

    Google Scholar 

  19. Lus, H., AydIn, C.O., Keten, S., Ünsal, H.I., AtIlgan, A.R.: El farol revisited. Physica A: Statistical Mechanics and its Applications 346(3-4), 651–656 (2005)

    Article  Google Scholar 

  20. Lustosa, B.C., Cajueiro, D.O.: Constrained information minority game: How was the night at el farol? Physica A: Statistical Mechanics and its Applications 389(6), 1230–1238 (2010)

    Article  Google Scholar 

  21. Macedo, L.: The Exploration of Unknown Environments by Affective Agents. PhD thesis, University of Coimbra (2006)

    Google Scholar 

  22. Macedo, L., Cardoso, A., Reisenzein, R., Lorini, E., Castelfranchi, C.: Artificial surprise. In: Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence, pp. 267–291 (2009)

    Google Scholar 

  23. Macedo, L., Reisenzein, R., Cardoso, A.: Modeling forms of surprise in artificial agents: empirical and theoretical study of surprise functions. In: 26th Annual Conference of the Cognitive Science Society, pp. 588–593 (2004)

    Google Scholar 

  24. Meyer, W.-U., Reisenzein, R., Schutzwohl, A.: Toward a process analysis of emotions: The case of surprise. Motivation and Emotion 21, 251–274 (1997)

    Article  Google Scholar 

  25. Phelps, S.: Evolutionary Mechanism Design. PhD thesis, University of Liverpool (2007)

    Google Scholar 

  26. Rabin, M.: A perspective on psychology and economics. European Economic Review 46, 657–685 (2002)

    Article  Google Scholar 

  27. Reisenzein, R.: Emotions as metarepresentational states of mind: Naturalizing the belief-desire theory of emotion. Cognitive Systems Research 10(1), 6–20 (2009)

    Article  Google Scholar 

  28. Taleb, N.N.: Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets, 2nd updated edn. Random House (October 2008)

    Google Scholar 

  29. Tversky, A., Kahneman, D.: Judgment under uncertainty: Heuristics and biases. Science 185(4157), 1124–1131 (1974)

    Article  Google Scholar 

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Baccan, D.D., Macedo, L. (2013). Revisiting the El Farol Problem: A Cognitive Modeling Approach. In: Giardini, F., Amblard, F. (eds) Multi-Agent-Based Simulation XIII. MABS 2012. Lecture Notes in Computer Science(), vol 7838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38859-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-38859-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38858-3

  • Online ISBN: 978-3-642-38859-0

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