TacTex-05: an adaptive agent for TAC SCM

Authors:
David Pardoe;Peter Stone;Mark VanMiddlesworth
Affiliations:
Department of Computer Sciences, The University of Texas at Austin, Austin, TX;Department of Computer Sciences, The University of Texas at Austin, Austin,TX;Department of Computer Sciences, The University of Texas at Austin, Austin, TX
Venue:
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Year:
2006

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Abstract

Supply chains are ubiquitous in the manufacturing of many complex products. Traditionally, supply chains have been created through the interactions of human representatives of the companies involved, but advances in autonomous agent technologies have sparked an interest in automating the process. The Trading Agent Competition Supply Chain Management (TAC SCM) scenario provides a unique testbed for studying supply chain management agents. This paper introduces TacTex-05, the champion agent from the 2005 competition, focusing on its ability to adapt to opponent behavior over a series of games. The impact of this adaptivity is examined through both analysis of competition results and controlled experiments.