STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIES

  • Authors:

  • Iyad Rahwan;Liz Sonenberg;Nicholas R. Jennings;Peter McBurney

  • Affiliations:

  • Institute of Informatics, The British University in Dubai, Dubai,(Fellow) School of Informatics, The University of Edinburgh, Edinburgh, UK;Department of Information Systems, The University of Melbourne, Parkville, Australia;School of Electronics & Computer Science, University of Southampton, Southampton, UK;Department of Computer Science, University of Liverpool, Liverpool, UK

  • Venue:
  • Applied Artificial Intelligence
  • Year:
  • 2007

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Abstract

Automated negotiation is a powerful (and sometimes essential) means for allocating resources among self-interested autonomous software agents. A key problem in building negotiating agents is the design of the negotiation strategy, which is used by an agent to decide its negotiation behavior. In complex domains, there is no single, obvious optimal strategy. This has led to much work on designing heuristic strategies, where agent designers usually rely on intuition and experience. In this article, we introduce STRATUM, a methodology for designing strategies for negotiating agents. The methodology provides a disciplined approach to analyzing the negotiation environment and designing strategies in light of agent capabilities and acts as a bridge between theoretical studies of automated negotiation and the software engineering of negotiation applications. We illustrate the application of the methodology by characterizing some strategies for the Trading Agent Competition and for argumentation-based negotiation.