Knowledge discovery for adaptive negotiation agents in e-marketplaces

  • Authors:
  • Raymond Y. K. Lau;Yuefeng Li;Dawei Song;Ron Chi Wai Kwok

  • Affiliations:
  • Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon Hong Kong SAR, China;School of Software Engineering and Data Communications, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia;Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA United Kingdom;Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon Hong Kong SAR, China

  • Venue:
  • Decision Support Systems
  • Year:
  • 2008

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Abstract

Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for e-marketplaces, existing negotiation mechanisms are weak in dealing with complex and dynamic negotiation spaces often found in e-commerce. This paper illustrates a novel knowledge discovery method and a probabilistic negotiation decision making mechanism to improve the performance of negotiation agents. Our preliminary experiments show that the probabilistic negotiation agents empowered by knowledge discovery mechanisms are more effective and efficient than the Pareto optimal negotiation agents in simulated e-marketplaces.