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Strategic issues in trading agent competition: TAC-classic
Francisco Oliveira; Yain-whar Si
Conference NameIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006)
Source Publication2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops
Conference Date18-22 Dec. 2006
Conference PlaceHong Kong, China

With the advancement of Internet Technology, increasing number of electronic marketplaces and online auction houses provides real-time transaction services for buyers and sellers regardless of their geographical locations. Easy access to these services has also fueled the need for automating the overall negotiation and decision making process. The annual Trading Agent Competition (TAC) is an international forum designed to provide a competitive benchmark for the trading agents developers around the world The first TAC was held in July, 2000. In the TACClassic category, travel agents compete against each other to assemble travel packages on behalf of several clients. The objective of the travel agent is to maximize the total satisfaction of its clients. During the competition, travel agents may perform three crucial tasks: allocation of resources according to the clients' preferences, prediction of air ticket and hotel prices, and bidding in respective auctions for the required goods. In this paper, we review the algorithms, techniques and heuristics used by the agents which have the highest scores in the last six years of tournaments. © 2006 IEEE.

URLView the original
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000244608000115
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Document TypeConference paper
AffiliationFaculty of Science and Technology, University of Macau, Macao
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Francisco Oliveira,Yain-whar Si. Strategic issues in trading agent competition: TAC-classic[C],2007:518-522.
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