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.
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References
Fox, M.S., Chionglo, J.F., Barbuceanu, M.: The integrated supply chain management system. Internal Report, Dept. Industrial Engineering, University of Toronto (1993), available from http://www.eil.utoronto.ca/public/iscm-intro.ps
Sadeh, N., et al.: Mascot: an agent-based architecture for coordinated mixed-initiative supply chain planning and scheduling. In: Workshop on Agent-Based Decision Support in Managing the Internet-Enabled Supply-Chain, at Agents ’99 (1999)
Chen, Y., et al.: A negotiation-based multi-agent system for supply chain management. In: Workshop on Agent-Based Decision Support in Managing the Internet-Enabled Supply-Chain, at Agents ’99 (1999)
Pardoe, D., Stone, P.: Predictive planning for supply chain management. In: Sixteenth International Conference on Automated Planning and Scheduling (2006)
Kiekintveld, C., et al.: Distributed feedback control for decision making on supply chains. In: Fourteenth International Conference on Automated Planning and Scheduling (2004)
Pardoe, D., Stone, P.: Bidding for customer orders in TAC SCM. In: AAMAS 2004 Workshop on Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (2004)
Benisch, M., et al.: Botticelli: A supply chain management agent. In: Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), vol. 3, pp. 1174–1181 (2004)
Ketter, W., et al.: Identifying and forecasting economic regimes in tac scm. In: IJCAI 2005 Workshop on Trading Agent Design and Analysis, pp. 53–60 (2005)
He, M., et al.: Designing and evaluating an adaptive trading agent for supply chain management applications. In: IJCAI 2005 Workshop on Trading Agent Design and Analysis (2005)
Stone, P., et al.: ATTac-2000: An adaptive autonomous bidding agent. Journal of Artificial Intelligence Research 15, 189–206 (2001)
Stone, P., et al.: Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions. Journal of Artificial Intelligence Research 19, 209–242 (2003)
Kiekintveld, C., Vorobeychik, Y., Wellman, M.P.: An analysis of the 2004 supply chain management trading agent competition. In: IJCAI 2005 Workshop on Trading Agent Design and Analysis (2005)
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Pardoe, D., Stone, P., VanMiddlesworth, M. (2007). TacTex-05: An Adaptive Agent for TAC SCM. In: Fasli, M., Shehory, O. (eds) Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets. TADA AMEC 2006 2006. Lecture Notes in Computer Science(), vol 4452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72502-2_4
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DOI: https://doi.org/10.1007/978-3-540-72502-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72501-5
Online ISBN: 978-3-540-72502-2
eBook Packages: Computer ScienceComputer Science (R0)