Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce

Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce

Bireshwar Dass Mazumdar (Baranas Hindu University, India), Swati Basak (Baranas Hindu University, India) and Neelam Modanwal (Baranas Hindu University, India)
Copyright: © 2011 |Pages: 20
DOI: 10.4018/jats.2011040103
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Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. The objective of this paper is to evaluate a seller agent’s various cognitive parameters like capability, trust, and desire. After selecting a best seller agent from ordering queue, it applies negotiation strategies to find the most profitable proposal for both buyer and seller. This mechanism belongs to a semi cooperative negotiation type, and selecting a seller and buyer agent pair using mental and cognitive parameters. This work provides a logical cognitive model, logical negotiation model between buyer agent and selected seller agent.
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Problem Description

The process of brokering as often occurs in E-Commerce involves a number of agents. A buyer agent looking for products may be supported by a broker agent that takes its buyer agent’s queries and contacts other agents or looks at the web directly to find information on products within the buyer agent’s scope of interest.

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