Agent-mediated eCommerce (AMEC) is rapidly emerging as a new paradigm to develop distributed and intelligent eCommerce systems. Such systems are built upon the foundations of agent technology with a strong emphasis on the automated negotiation. In this paper, we address negotiation problems where agreements must resolve several different issues. We propose a one-to-many multi-attribute negotiation model based on the decision making theory. The proposed model is capable of processing agents' preferences and arriving to an optimal solution from a set of alternatives by ranking them according to the score that they achieved. We present our experimental system architecture, together with a discussion of the underlying negotiation framework. We then report on our prototype implementation using the JADE and Eclipse platform and illustrate it with an example in eCommerce. Our concluding remarks and future research are presented. © Springer-Verlag Berlin Heidelberg 2010.
|Name||Smart Innovation, Systems and Technologies|
|Conference||2nd International Symposium on Intelligent Decision Technologies, KES IDT 2010|
|Period||28/07/10 → 30/07/10|