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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/4872
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dc.contributor.authorYang, Yang (楊揚)
dc.contributor.authorTam, Sai Man (譚世民)
dc.contributor.authorLai, Chun Lam (黎峻林)
dc.contributor.authorLau, Raymond Yiu Keung (劉耀強)
dc.date.accessioned2007-11-22T04:07:46Z
dc.date.accessioned2017-09-19T09:18:57Z
dc.date.accessioned2019-02-12T08:40:41Z-
dc.date.available2007-11-22T04:07:46Z
dc.date.available2017-09-19T09:18:57Z
dc.date.available2019-02-12T08:40:41Z-
dc.date.issued2007-10
dc.identifier.otheris2007-001
dc.identifier.urihttp://144.214.8.231/handle/2031/4872-
dc.description.abstractWith the explosive growth of the number of transactions conducted via electronic channels, there is a pressing need for the development of intelligent support tools to improve the degree and sophistication of automation for e-Commerce. With reference to the Business-to-Business Transactions (BBT) model, negotiation is one of key steps for B2B e-Commerce. Nevertheless, classical negotiation models are ineffective for supporting multi-party multi-issue negotiations often encountered in e-Business environment. The main contribution of our innovative research project is the exploitation of Web technologies, game theory, and intelligent agent techniques for the design and development of an automated integrative negotiation mechanism to facilitate online e-Marketplace for e-Business. Our preliminary experiment shows that the proposed intelligent agent based negotiation system is more effective than human negotiators in simulated negotiation cases. Our research work opens the door to the development of intelligent tools to streamline B2B eCommerce.
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
dc.rightsAccess is restricted to CityU and other institutions for the purpose of scholarly communication.
dc.subjectIntelligent Agents
dc.subjectGame Theory
dc.subjectAutomated Negotiations
dc.subjecte-Marketplaces
dc.titleIntelligent Multi-Party Multi-Issue Bargaining System for e-Businessen
dc.contributor.departmentDepartment of Information Systemsen
dc.description.awardWon the Best Paper Award (Student Session)in the IEEE 2007 International Conference on e-Business Engineering (ICEBE 2007)organized by IEEE Computer Society, The University of Hong Kong, The Hong Kong University of Science and Technology, Singapore Management University
dc.description.fulltextAward winning work is available.
dc.description.supervisorDr. Lau, Raymond Yiu-keung (劉耀強博士)
Appears in Collections:Student Works With External Awards 

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