A negotiation model in electronic commerce to reflect multiple transaction factors and learning

With the growth of EC (Electronic Commerce) on the Internet and the increase of interest in software agents, research for automated negotiation is proceeding rapidly. We divide the present EC into two types-EC without a negotiation process and EC with a negotiation process-in the light of a negotiation process and look into characteristics and problems of them. We propose a flexible negotiation model for agent-based EC systems, and present the use of ontology to be open and shared as an expressive knowledge representation and strategy to be environment-adaptive as a function for the best transactions. The proposed negotiation model make it possible to negotiate for diverse attributes simultaneously and grip the progressive process of a negotiation via BB (Black Board), one that used in learning strategy. Finally, we evaluate the proposed negotiation model qualitatively.