An evolutionary approach for intelligent negotiation agents in e-marketplaces

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review

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Original languageEnglish
Title of host publicationIntelligent Agents in the Evolution of Web and Applications
PublisherSpringer
Pages279-301
ISBN (print)9783540880707
Publication statusPublished - 2009

Publication series

NameStudies in Computational Intelligence
Volume167
ISSN (Print)1860-949X

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DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-54549111915&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(ab28583c-1a6d-4f50-909c-f438cc45d85a).html

Abstract

Automated negotiation mechanisms are desirable to enhance the throughput of e-marketplaces. However, existing negotiation mechanisms are weak in supporting real-world negotiations because they assume the availability of complete information about static negotiation spaces where both negotiator's preferences and market conditions remain unchanged. This article illustrates the design and development of evolutionary negotiation agents which are able to learn from and adapt to dynamic negotiation environment. Our experimental results show that the proposed evolutionary negotiation agents outperform a Pareto optimal negotiation mechanism under dynamic negotiation conditions such as the presence of time pressure. These agents can also achieve near optimal negotiation outcomes under dynamic negotiation environment. Our research work opens the door to the development of intelligent negotiation agents to streamline real-world e-marketplaces. © 2009 Springer-Verlag Berlin Heidelberg.

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Publication fingerprints text

100
Intelligent Negotia... Keyphrases
100
Negotiation Agent Keyphrases
100
Evolutionary Approa... Keyphrases
100
E-marketplace Keyphrases
100
negotiation INIS
100
Real World Computer Science
75
Negotiation Mechani... Keyphrases
75
Dynamic Bargaining Keyphrases
50
Evolutionary Keyphrases
50
Design Computer Science
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Citation Format(s)

[ RIS ] [ BibTeX ]
An evolutionary approach for intelligent negotiation agents in e-marketplaces. / Lau, Raymond Y.K.
Intelligent Agents in the Evolution of Web and Applications. Springer, 2009. p. 279-301 (Studies in Computational Intelligence; Vol. 167).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review