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dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Computingen_US
dc.creatorWong, Yuk Eric-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/1273-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleEngineering market-driven agents for electronic auctionen_US
dcterms.abstractWhile there are several extant agent-based systems addressing the crucial and difficult issues of automated negotiation and auction, this research has designed and engineered a society of trading agents with two distinguishing features: (i) a market-driven negotiation strategy and (ii) a deal optimizing auction protocol. Unlike some of the existing systems where users manually select predefined trading strategies, in the market-driven approach, trading agents automatically select the appropriate strategies by examining the changing market situations. Results from a series of experiments seemed to indicate that the market-driven approach seems to achieve generally more favorable outcomes as compared to the fixed strategy approach. Furthermore, it provides a more intuitive simulation of trading because trading agents are able to respond to different market situations with appropriate strategies. By augmenting the auction protocol with a deal optimization stage, trading agents can be programmed to optimize transaction deals by delaying the finalization of deals in search of better deals. Experimental results showed that by having a deal optimization stage, the auction protocol produced generally optimistic outcomes.en_US
dcterms.extentvi, 94 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2000en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHAuctions -- Data processingen_US
dcterms.LCSHNegotiation in business -- Data processingen_US
dcterms.LCSHIntelligent agents (Computer software)en_US
dcterms.LCSHElectronic commerceen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/1273