Combining Cooperative and Non-Cooperative Automated Negotiations

  • Authors:

  • Jen-Hsiang Chen;Kuo-Ming Chao;Nick Godwin;Von-Wun Soo

  • Affiliations:

  • DSM Research Group, School of MIS, Coventry University, UK;DSM Research Group, School of MIS, Coventry University, UK;DSM Research Group, School of MIS, Coventry University, UK;Department of CS, National Tsing- Hua University, Taiwan

  • Venue:
  • Information Systems Frontiers
  • Year:
  • 2005

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Abstract

Automated negotiation is a key issue to facilitate e-Business. It is an on-going research area and attracts attention from both research communities and industry. In this paper, we propose a multiple-stage co-operative automated negotiation architecture, including a sophisticated negotiation strategy and protocol, to resolve the agents' conflicts. This proposed architecture attempts to address the search for joint efficiency for negotiating agents in large and complex problem spaces using a co-evolutionary method. A game theoretic method is adapted to distribute the payoffs generated from the co-evolutionary method. The architecture supports interactions between the two methods to demonstrate that high-quality solutions can be found through their complimentary functions. Using the structure it is possible to refine and explore potential agreements through an iterated process. This article also reports some experimental results and discussions.