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	<pub:TechReport rdf:about="http://ebiquity.umbc.edu/paper/html/id/140/UMBCTAC-A-Balanced-Bidding-Agent">
		<rdfs:label><![CDATA[UMBCTAC: A Balanced Bidding Agent]]></rdfs:label>
		<pub:title><![CDATA[UMBCTAC: A Balanced Bidding Agent]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2002-12-14T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[UMBCTAC is one of the top-ranking agents in the 3rd International Trading Agent Competition (TAC). A TAC game has multiple auctions running on different but interrelated resources simultaneously, and 8 trading agents will compete with each other for optimal result – making maximum profit.  The spirit of simplicity and balance is used as a guideline to solve the dynamic optimization problem in the TAC game. The hotel/airline auctions and the entertainment ticket auctions are handled separately by applying an early bird heuristic. A gain-risk model is used to select a good, safe resource allocation for the clients in hotel/airline auctions. A fast and simple probabilistic approach is used to handle entertainment ticket auctions.]]></pub:abstract>
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		<pub:tag><![CDATA[auction]]></pub:tag>
		<pub:tag><![CDATA[multiagent system]]></pub:tag>
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		<pub:booktitle><![CDATA[UMBC Technical Report TR-02-15]]></pub:booktitle>
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