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Agent-oriented software engineering for successful TAC participation

Published: 15 July 2002 Publication History

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

[1]
Greenwald, A., and Stone, P. Autonomous Bidding Agents in the Trading Agent Competition. IEEE Internet Computing, pages 52--60, March/April, 2001.
[2]
Jennings, N. R., and Wooldridge, M. Agent-Oriented Software Engineering. In: J. Bradshaw (ed.), Handbook of Agent Technology, AAAI/MIT Press, 2001.
[3]
Stone, P., Littman, L., Singh, S., and Kearns, M. ATTac-2000: An Adaptive Autonomous Bidding Agent. Proceedings of the 5th Int.Conference on Autonomous Agents, 2001.
[4]
Wellman, M. P., Wurman, P. R., O'Malley, K., Bangera, R., Lin, S., Reeves, D., and Walsh, W. E. Designing the Market Game for a Trading Agent Competition. IEEE Internet Computing, pages 43--51, March/April, 2001.
[5]
Wooldridge, M., Jennings, N. R., and Kinny, D. The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems 3 (3), pages 285--312, 2000.

Cited By

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  • (2010)Learning Improved Entertainment Trading Strategies for the TAC Travel GameAgent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets10.1007/978-3-642-15117-0_14(195-210)Online publication date: 2010
  • (2009)Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learningProceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 110.5555/1558013.1558047(249-256)Online publication date: 10-May-2009
  • (2007)STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIESApplied Artificial Intelligence10.1080/0883951070140897121:6(489-527)Online publication date: 6-Jul-2007
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      cover image ACM Conferences
      AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
      July 2002
      540 pages
      ISBN:1581134800
      DOI:10.1145/544741
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 15 July 2002

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      Author Tags

      1. adaptive profit optimization
      2. agent-based software engineering
      3. electronic commerce
      4. methodologies and tools

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      Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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      Cited By

      View all
      • (2010)Learning Improved Entertainment Trading Strategies for the TAC Travel GameAgent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets10.1007/978-3-642-15117-0_14(195-210)Online publication date: 2010
      • (2009)Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learningProceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 110.5555/1558013.1558047(249-256)Online publication date: 10-May-2009
      • (2007)STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIESApplied Artificial Intelligence10.1080/0883951070140897121:6(489-527)Online publication date: 6-Jul-2007
      • (2006)Strategic Issues in Trading Agent CompetitionProceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology10.1109/WI-IATW.2006.124(518-522)Online publication date: 18-Dec-2006
      • (2006)Chapter 28 Automated Markets and Trading Agents10.1016/S1574-0021(05)02028-9(1381-1431)Online publication date: 2006
      • (2005)WalverineDecision Support Systems10.1016/j.dss.2003.10.00539:2(169-184)Online publication date: 1-Apr-2005
      • (2005)Searching for walverine 2005Proceedings of the 2005 international conference on Agent-Mediated Electronic Commerce: designing Trading Agents and Mechanisms10.1007/11888727_12(157-170)Online publication date: 25-Jul-2005
      • (2004)Price prediction in a trading agent competitionJournal of Artificial Intelligence Research10.5555/1622467.162246921:1(19-36)Online publication date: 1-Jan-2004
      • (2004)Living AgentsEvolution of Supply Chain Management10.1007/0-306-48696-2_16(397-415)Online publication date: 2004
      • (2003)Decision-theoretic bidding based on learned density models in simultaneous, interacting auctionsJournal of Artificial Intelligence Research10.5555/1622434.162244219:1(209-242)Online publication date: 1-Sep-2003
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