论文信息 - Agent-oriented software engineering for successful TAC participation

Agent-oriented software engineering for successful TAC participation

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.

Klaus Dorer | Clemens Fritschi

[1] Anand S. Rao,et al. A Methodology and Modelling Technique for Systems of BDI Agents , 1996, MAAMAW.

[2] Gerhard Weiß,et al. Agentenorientiertes Software Engineering , 2001, Informatik-Spektrum.

[3] Nicholas R. Jennings,et al. The Gaia Methodology for Agent-Oriented Analysis and Design , 2000, Autonomous Agents and Multi-Agent Systems.

[4] Klaus Dorer,et al. Behavior Networks for Continuous Domains using Situation-Dependent Motivations , 1999, IJCAI.

[5] Shou-De Lin,et al. Designing the Market Game for a Trading Agent Competition , 2001, IEEE Internet Comput..

[6] Bernhard Bauer,et al. Extending UML for agents , 2000 .

[7] Peter Stone,et al. ATTac-2000: an adaptive autonomous bidding agent , 2001, AGENTS '01.

[8] Peter Stone,et al. Autonomous Bidding Agents in the Trading Agent Competition , 2001, IEEE Internet Comput..

[9] Michael Wooldridge,et al. Agent-Oriented Software Engineering , 1999, ATAL.