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Author Patel, D. ♦ Gupta, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Software agents ♦ Humans ♦ Information technology ♦ Computer science ♦ Performance evaluation ♦ Decision making ♦ Distributed computing
Abstract Negotiation is a process between self-interested buyers and sellers in a business transaction trying to reach an agreement on one or more issues. The outcome of the negotiation depends on several parameters such as the agents' strategies and the knowledge one agent has about the others. It is important that an agent chooses a proper negotiation strategy based on the available information in order to achieve its goal. In this paper, we first perform a comparative evaluation of commonly used negotiation strategies for bilateral single-issue negotiation and show that there is no one strategy which works well in all situations. We then present an adaptive negotiation strategy that a seller can use to increase its gain. The strategy adapts itself based on information obtained about the buyer's strategy from an ongoing negotiation process and past negotiation experiences. We present extensive simulation results to show that for a wide variety of cases, the adaptive strategy gives better performance compared to the best non-adaptive strategy found from the comparative evaluation done earlier
Description Author affiliation: Sch. of Inf. Technol., Indian Inst. of Technol. Kharagpur (Patel, D.; Gupta, A.)
ISBN 076952558X
ISSN 15417719
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-10-16
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 301.11 kB
Page Count 10
Starting Page 243
Ending Page 252


Source: IEEE Xplore Digital Library