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The success of online auctions has given buyers access to greater productdiversity with potentially lower prices. It has provided sellers with access tolarge numbers of potential buyers and reduced transaction costs by enablingauctions to take place without regard to time or place. However it is difficultto spend more time period with system and closely monitor the auction untilauction participant wins the bid or closing of the auction. Determining whichitems to bid on or what may be the recommended bid and when to bid it aredifficult questions to answer for online auction participants. The multi agentauction advisor system JADE and TRACE, which is connected with decision supportsystem, gives the recommended bid to buyers for online auctions. The auctionadvisor system relies on intelligent agents both for the retrieval of relevantauction data and for the processing of that data to enable meaningfulrecommendations, statistical reports and market prediction report to be made toauction participants.

Multi Agent Communication System for Online Auction with Decision Support System by JADE and TRACE