Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62938
Title: The design and implementation of an intelligent agent-based negotiation shopping system
Authors: Hui, J
Lam, T
Lee, R
Keywords: Intelligent agents
Utility function
Negotiation strategy
Multi-agent systems
Issue Date: 2005
Publisher: IOS Press
Source: Multiagent and grid systems, 2005, v. 1, no. 3, p. 131-146 How to cite?
Journal: Multiagent and grid systems 
Abstract: Recently, agents have received substantial attention in AI research community. Agents have the autonomous properties, automatic delegation of jobs, highly mobile and adaptive behavior in the environment. It is one of the potential areas of development for the E-commence. By using agents' technology, it is possible to model negotiation. Agents could act as the representatives of the buyers to perform shopping activities. In this paper, a new approach for negotiation was proposed. Fuzzy logic is used as the basic reasoning tool for negotiation. With the Fuzzy logic technology, the negotiation context was represented in linguistic variables. A prototype of an e-shopping system was developed for evaluation. By using the proposed algorithm, the price was 6% cheaper than the original price. In addition, the product could had a better quality (5% higher than original) and longer period of warranty (5% longer than the original).
URI: http://hdl.handle.net/10397/62938
ISSN: 1574-1702 (print)
1875-9076 (online)
DOI: 10.3233/MGS-2005-1301
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