Adapting Price Predictions in TAC SCM

  • David Pardoe
  • Peter Stone
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 13)

Abstract

In agent-based markets, adapting to the behavior of other agents is often necessary for success. When it is not possible to directly model individual competitors, an agent may instead model and adapt to the market conditions that result from competitor behavior. Such an agent could still benefit from reasoning about specific competitor strategies by considering how various combinations of these strategies would impact the conditions being modeled. We present an application of such an approach to a specific prediction problem faced by the agent TacTex-06 in the Trading Agent Competition’s Supply Chain Management scenario (TAC SCM).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • David Pardoe
    • 1
  • Peter Stone
    • 1
  1. 1.Department of Computer SciencesThe University of Texas at AustinAustinUSA

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