Combining Cooperative and Non-Cooperative Automated Negotiations

Jen-Hsiang Chen (), Kuo-Ming Chao (), Nick Godwin () and Soo Von-Wun ()
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Jen-Hsiang Chen: School of MIS, Coventry University
Kuo-Ming Chao: School of MIS, Coventry University
Nick Godwin: School of MIS, Coventry University
Soo Von-Wun: National Tsing- Hua University

Information Systems Frontiers, 2005, vol. 7, issue 4, No 5, 404 pages

Abstract: Abstract Automated negotiation is a key issue to facilitate e-Business. It is an on-going research area and attracts attention from both research communities and industry. In this paper, we propose a multiple-stage co-operative automated negotiation architecture, including a sophisticated negotiation strategy and protocol, to resolve the agents' conflicts. This proposed architecture attempts to address the search for joint efficiency for negotiating agents in large and complex problem spaces using a co-evolutionary method. A game theoretic method is adapted to distribute the payoffs generated from the co-evolutionary method. The architecture supports interactions between the two methods to demonstrate that high-quality solutions can be found through their complimentary functions. Using the structure it is possible to refine and explore potential agreements through an iterated process. This article also reports some experimental results and discussions.

Keywords: automated negotiation; co-evolutionary; game theory (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10796-005-4810-8

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