Agent-oriented software engineering for successful TAC participation

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Agent-oriented software engineering for successful TAC participation

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International Conference on Autonomous Agents archive
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1 table of contents

Bologna, Italy

SESSION: Session 1A: agent oriented software engineering table of contents

Pages: 45 - 46

Year of Publication: 2002

ISBN:1-58113-480-0

Authors

Clemens Fritschi	living systems AG, Donaueschingen, Germany
Klaus Dorer	living systems AG, Donaueschingen, Germany

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 11, Downloads (12 Months): 54, Citation Count: 10

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abstract references cited by index terms collaborative colleagues

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ABSTRACT

In this paper we describe our approach for an efficient design and implementation of multi-agent systems using agent oriented methodologies and tools. We demonstrate the strength of this approach taking the example of the TAC domain. The trading agent competition (TAC) is a challenging e-marketplace domain for autonomous auction agents. The development process turned out to be very effective with respect to time and success and with the living agents team finishing as the highest scoring team.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Amy Greenwald , Peter Stone, Autonomous Bidding Agents in the Trading Agent Competition, IEEE Internet Computing, v.5 n.2, p.52-60, March 2001 [doi>10.1109/4236.914648]
	2	Jennings, N. R., and Wooldridge, M. Agent-Oriented Software Engineering. In: J. Bradshaw (ed.), Handbook of Agent Technology, AAAI/MIT Press, 2001.
	3	Peter Stone , Michael L. Littman , Satinder Singh , Michael Kearns, ATTac-2000: an adaptive autonomous bidding agent, Proceedings of the fifth international conference on Autonomous agents, p.238-245, May 2001, Montreal, Quebec, Canada [doi>10.1145/375735.376301]
	4	TAC Team , Michael P. Wellman , Peter R. Wurman , Kevin O'Malley , Roshan Bangera , Shou-de Lin , Daniel Reeves , William E. Walsh, Designing the Market Game for a Trading Agent Competition, IEEE Internet Computing, v.5 n.2, p.43-51, March 2001 [doi>10.1109/4236.914647]
	5	Michael Wooldridge , Nicholas R. Jennings , David Kinny, The Gaia Methodology for Agent-Oriented Analysis and Design, Autonomous Agents and Multi-Agent Systems, v.3 n.3, p.285-312, September 2000 [doi>10.1023/A:1010071910869]

CITED BY 11

	Michael P. Wellman , Amy Greenwald , Peter Stone , Peter R. Wurman, The 2001 trading agent competition, Eighteenth national conference on Artificial intelligence, p.935-941, July 28-August 01, 2002, Edmonton, Alberta, Canada
	Minghua He , Nicholas R. Jennings, SouthamptonTAC: An adaptive autonomous trading agent, ACM Transactions on Internet Technology (TOIT), v.3 n.3, p.218-235, August 2003
	Shih-Fen Cheng , Evan Leung , Kevin M. Lochner , Kevin O'Malley , Daniel M. Reeves , L. Julian Schvartzman , Michael P. Wellman, Walverine: a Walrasian trading agent, Proceedings of the second international joint conference on Autonomous agents and multiagent systems, July 14-18, 2003, Melbourne, Australia
	Amy Greenwald, The 2002 trading agent competition: an overview of agent strategies, AI Magazine, v.24 n.1, p.83-91, March 2003
	Ioannis A. Vetsikas , Bart Selman, A principled study of the design tradeoffs for autonomous trading agents, Proceedings of the second international joint conference on Autonomous agents and multiagent systems, July 14-18, 2003, Melbourne, Australia
	Shih-Fen Cheng , Evan Leung , Kevin M. Lochner , Kevin O'Malley , Daniel M. Reeves , Julian L. Schvartzman , Michael P. Wellman, Walverine: a Walrasian trading agent, Decision Support Systems, v.39 n.2, p.169-184, April 2005
	Francisco Oliveira , Yain-Whar Si, Strategic Issues in Trading Agent Competition: TAC-Classic, Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology, p.518-522, December 18-22, 2006
	L. Julian Schvartzman , Michael P. Wellman, Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning, Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems, May 10-15, 2009, Budapest, Hungary
	Peter Stone , Robert E. Schapire , Michael L. Littman , János A. Csirik , David McAllester, Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions, Journal of Artificial Intelligence Research, v.19 n.1, p.209-242, July 2003
	Michael P. Wellman , Daniel M. Reeves , Kevin M. Lochner , Yevgeniy Vorobeychik, Price prediction in a trading agent competition, Journal of Artificial Intelligence Research, v.21 n.1, p.19-36, January 2004
	Michael P. Wellman , Amy Greenwald , Peter Stone , Peter R. Wurman, The 2001 trading agent competition, Proceedings of the 14th conference on Innovative applications of artificial intelligence, p.935-941, July 28-August 01, 2002, Edmonton, Alberta, Canada