Development of a Multi-issue Negotiation System for E-Commerce

Abstract

Abstract. Agent-mediated e-commerce is rapidly emerging as a new paradigm to develop business intelligent systems. Such systems are built upon the foundations of agent technology with a strong emphasis on the automated negotiation capabilities. In this paper, we address negotiation problems where agreements must resolve several different attributes. We propose a one-to-many multi-issue negotiation model based on the Pareto optimal 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 prototype system architecture, together with a discussion of the underlying negotiation framework. We then illustrate on our implementation efforts using the JADE and Eclipse platform. Our concluding remarks and possible further work are presented.

Applying Social Interaction Theory to Negotiation Modeling: Design of E-negotiation System

“…An example includes multilateral negotiations between five countries regarding the status of the Caspian Sea (Rouhani et al 2010;Sheikhmohammady et al 2012). Other examples of roles include use of facilitators (Balachandran et al 2011;Shyur and Shih 2015) or advisors (Vahidov et al 2014) in ENS to help parties reach beneficial agreements. While some of the above work allow for such configurations, we argue that putting the roles and their interactions in the very basis of design will allow for more flexible and extendible negotiation system configurations.…”

Lenient negotiation model based on altruistic utility and its implication on agent-mediated negotiation

“…It can be defined as "a process in which two or more parties with different criteria, constraints, and preferences, jointly reach an agreement" [1]. In the real world, public concerns such as family quarrel, global troubles, and international disputes are constantly settled with negotiation.…”