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How Specialised Are Specialists? Generalisation Properties of Entries from the 2008 and 2009 TAC Market Design Competitions

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Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets (AMEC 2009, TADA 2009)

Abstract

Unlike the classic Trading Agent competition (tac), where participants enter trading strategies into a market, the tac Market Design Competition (cat) allows participants to create rules for their own double auction market and set fees for traders, which they embody in agents known as specialists. Although the generalisation properties of traders when the specialist (i.e., the market mechanism) is fixed have been assessed, generalisation properties of specialists have not. It is unclear whether and how a specialist might (intentionally or unintentionally) favour certain trading strategies. We present an empirical analysis of specialists’ generalisation abilities in various trading environments. Our results show that specialists can be sensitive to a number of factors, including the other trading and specialist strategies in the environment.

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References

  1. Gerding, E., McBurney, P., Niu, J., Parsons, S., Phelps, S.: Overview of CAT: A market design competition. Technical Report ULCS-07-006 Version 1.1, Department of Computer Science, University of Liverpool, Liverpool, UK (2007)

    Google Scholar 

  2. Gode, D.K., Sunder, S.: Allocative efficiency of markets with zero-intelligence traders: Market as a partial substitute for individual rationality. Journal of Political Economy 101(1), 119–137 (1993)

    Article  Google Scholar 

  3. Cliff, D.: Minimal-intelligence agents for bargaining behaviors in market-based environments. Technical Report HPL-97-91, Hewlett-Packard Research Laboratories, Bristol, UK (1997)

    Google Scholar 

  4. Erev, I., Roth, A.E.: Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria. American Economic Review 88(4), 848–881 (1998)

    Google Scholar 

  5. Gjerstad, S., Dickhaut, J.: Price formation in double auctions. Games and Economic Behavior 22(1), 1–29 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  6. Robbins, H.: Some aspects of the sequential design of experiments. Bulletin of the American Mathematical Society 58(5), 527–535 (1952)

    Article  MATH  MathSciNet  Google Scholar 

  7. Niu, J., Cai, K., Gerding, E., McBurney, P., Parsons, S.: Characterizing effective auction mechanisms: Insights from the 2007 TAC market design competition. In: Padgham, L., et al. (eds.) 7th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2008), NY, USA. ACM Press, New York (2008)

    Google Scholar 

  8. Petric, A., Podobnik, V., Grguric, A., Zemljic, M.: Designing an effective e-market: an overview of the CAT agent. In: Ketter, W. (ed.) Proceedings of 2008 Workshop on Trading Agent Design and Analysis (TADA 2008), Chicago, USA (2008)

    Google Scholar 

  9. Vytelingum, P., Vetsikas, I.A., Shi, B., Jennings, N.R.: IAMwildCat: The winning strategy for the TAC market design competition. In: Ghallab, M., et al. (eds.) 18th European Conference on AI (ECAI-2008), Patras, Greece. IOS Press, Amsterdam (2008)

    Google Scholar 

  10. Niu, J., Cai, K., McBurney, P., Parsons, S.: An analysis of entries in the first TAC market design competition. In: Jain, L., et al. (ed.) IEEE-WIC-ACM International Conference on Intelligent Agent Technology (IAT 2008), Sydney, Australia (2008)

    Google Scholar 

  11. Moses, L.E.: Think and Explain with Statistics. Addison-Wesley Publ. Co., Reading (1986)

    Google Scholar 

  12. Devroye, L.: Non-Uniform Random Variate Generation. Springer, New York (1986)

    MATH  Google Scholar 

  13. Vetsikas, I.A., Selman, B.: A principled study of the design tradeoffs for autonomous trading agents. In: AAMAS ’03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pp. 473–480. ACM Press, New York (2003)

    Chapter  Google Scholar 

  14. Wellman, M., Reeves, D., Lochner, K., Cheng, S., Suri, R.: Approximate strategic reasoning through hierarchical reduction of large symmetric games. In: Proceedings of the Twentieth National Conference on Artificial Intelligence, Pittsburgh, Pennsylvania, USA. AAAI, Menlo Park (2005)

    Google Scholar 

  15. Niu, J., Cai, K., Parsons, S., Sklar, E.: Some preliminary results on competition between markets for automated traders. In: Collins, J. (ed.) Proceedings of the AAAI 2007 Workshop on Trading Agent Design and Analysis (TADA 2007), Vancouver, Canada (2007)

    Google Scholar 

  16. Chong, S.Y., Tino, P., Yao, X.: Measuring generalization performance in co-evolutionary learning. IEEE Transactions on Evolutionary Computation 12(4), 479–505 (2008)

    Article  Google Scholar 

  17. Marks, R.E.: Validating simulation models: a general framework and four applied examples. Journal of Computational Economics 30(3), 265–290 (2007)

    Article  MATH  MathSciNet  Google Scholar 

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Robinson, E., McBurney, P., Yao, X. (2010). How Specialised Are Specialists? Generalisation Properties of Entries from the 2008 and 2009 TAC Market Design Competitions. In: David, E., Gerding, E., Sarne, D., Shehory, O. (eds) Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets. AMEC TADA 2009 2009. Lecture Notes in Business Information Processing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15117-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-15117-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15116-3

  • Online ISBN: 978-3-642-15117-0

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