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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=auction">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=auction]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for auction]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/172/TradeWise"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/136/Making-Google-Richer-Optimal-Algorithms-for-the-AdWords-Auction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/14/TAGA"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/190/Multi-agent-simulation-of-financial-markets"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/87/Using-semantic-web-technology-in-multi-agent-systems-a-case-study-in-the-TAGA-trading-agent-environment"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/139/Strategies-and-heuristics-used-by-the-UMBCTAC-agent-in-the-third-Trading-Agent-Competition"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1144/TAGA-Travel-Market-Framework-in-Agentcities-Demonstration-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1143/TAGA-Trading-Agent-Competition-in-Agentcities"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/140/UMBCTAC-A-Balanced-Bidding-Agent"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1129/Artificial-Intelligence-for-Electronic-Commerce"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/172/TradeWise">
  <title><![CDATA[TradeWise]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/172/TradeWise</link>
  <description><![CDATA[Olga's Internship at GE - Pervasive Decisioning Systems Lab(PDS).

Olga's internship involved designing and developing and electronic
marketplace for owner operated small tractor trailer fleet. The system
provided comprehensive solution to personalized load discovery, valuation
of loads according to the drive's preferences and bidding for the loads.
The system also provided long term solutions that would in the
personalized manner optimize driver's portfolio.]]></description>
  <dc:date>2006-09-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/136/Making-Google-Richer-Optimal-Algorithms-for-the-AdWords-Auction">
  <title><![CDATA[Making Google Richer: Optimal Algorithms for the AdWords Auction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/136/Making-Google-Richer-Optimal-Algorithms-for-the-AdWords-Auction</link>
  <description><![CDATA[Google's phenomenal success may be ascribed as much to a revolution in advertising as to its superior search results. The key to this online advertising model is an innovative auction run by the search engine companies. Advertisers' bids for search keywords determine which ads are displayed during internet searches. There are a number of algorithmic and game theoretic issues that arise in this context. In particular, the problem of maximizing revenue in such keyword auctions can be formulated...]]></description>
  <dc:date>2006-03-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/14/TAGA">
  <title><![CDATA[TAGA]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/14/TAGA</link>
  <description><![CDATA[Travel Agent Game in Agentcities (TAGA) is an agent framework for simulating the global travel market on the Web. It extends and enhances the original TAC system [Wellman 99] to work in an Agentcities environment of FIPA compliant agents.]]></description>
  <dc:date>2002-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/190/Multi-agent-simulation-of-financial-markets">
  <title><![CDATA[Multi-agent simulation of financial markets]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/190/Multi-agent-simulation-of-financial-markets</link>
  <description><![CDATA[Simulation of financial markets is a new, fast-growing research area with two primary motivations. The first is the need to provide a development testbed for the ever-increasing automation of financial markets. The second is the inability of traditional computational mathematics to predict market patterns that result from the choices made by interacting investors in a market. This paper discusses the principal reasons for, and prospective opportunities of, simulating financial markets using a...]]></description>
  <dc:date>2004-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/87/Using-semantic-web-technology-in-multi-agent-systems-a-case-study-in-the-TAGA-trading-agent-environment">
  <title><![CDATA[Using semantic web technology in multi-agent systems: a case study in the TAGA trading agent environment]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/87/Using-semantic-web-technology-in-multi-agent-systems-a-case-study-in-the-TAGA-trading-agent-environment</link>
  <description><![CDATA[Travel Agent Game in Agentcities (TAGA) is a framework that extends and enhances the Trading Agent Competition (TAC) scenario for Agentcities, an open multi-agent environment based on FIPA-compliant platforms. TAGA uses the semantic web languages and tools (RDF and OWL) to specify and publish the underlying common ontologies as a content language within FIPA ACL messages, as the basis for agent knowledge bases via XSB-based reasoning tools, and to describe and reason about services. TAGA exte...]]></description>
  <dc:date>2003-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/139/Strategies-and-heuristics-used-by-the-UMBCTAC-agent-in-the-third-Trading-Agent-Competition">
  <title><![CDATA[Strategies and heuristics used by the UMBCTAC agent in the third Trading Agent Competition]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/139/Strategies-and-heuristics-used-by-the-UMBCTAC-agent-in-the-third-Trading-Agent-Competition</link>
  <description><![CDATA[The UMBCTAC agent was one of the top ranked agents in the third international Trading Agent Com-petition (TAC'02). This paper describes and evalu-ates the key heuristics used by UMBCTAC, includ-ing the early bird heuristic, the balance heuristic, and the separation heuristic. We developed a simple gain-risk model to search safe and profitable allocations for hotel rooms and airline tickets. We also used a novel probabilistic approach to dynamically allocate entertainment tickets and bid in en...]]></description>
  <dc:date>2003-08-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1144/TAGA-Travel-Market-Framework-in-Agentcities-Demonstration-">
  <title><![CDATA[TAGA: Travel Market Framework in Agentcities (Demonstration)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1144/TAGA-Travel-Market-Framework-in-Agentcities-Demonstration-</link>
  <description><![CDATA[Travel Agent Game in Agentcities (TAGA) is a framework that extends and enhances the Trading Agent Competition (TAC) system to work in Agentcities, an open multiagent systems environment of FIPA-compliant systems. TAGA makes several contributions: auction services are added to enrich the Agentcities environment, the use of the semantic web languages RDF and DAML+OIL improve the interoperability among agents, and the DAML-S ontology is employed to support service registration, discovery, and i...]]></description>
  <dc:date>2003-08-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1143/TAGA-Trading-Agent-Competition-in-Agentcities">
  <title><![CDATA[TAGA: Trading Agent Competition in Agentcities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1143/TAGA-Trading-Agent-Competition-in-Agentcities</link>
  <description><![CDATA[Travel Agent Game in Agentcities (TAGA) is a framework that extends and enhances the Trading Agent Competition (TAC) scenario to work in Agentcities, an open multi-agent environment based on FIPA-compliant systems. TAGA uses the semantic web languages and tools (RDF and DAML+OIL) to specify and publish the underlying common ontologies; as a content language within FIPA ACL messages; as the basis for agent knowledge bases via XSB-based reasoning tools; and to describe and reason about DAML-S-b...]]></description>
  <dc:date>2003-08-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/140/UMBCTAC-A-Balanced-Bidding-Agent">
  <title><![CDATA[UMBCTAC: A Balanced Bidding Agent]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/140/UMBCTAC-A-Balanced-Bidding-Agent</link>
  <description><![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 separate...]]></description>
  <dc:date>2002-12-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1129/Artificial-Intelligence-for-Electronic-Commerce">
  <title><![CDATA[Artificial Intelligence for Electronic Commerce]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1129/Artificial-Intelligence-for-Electronic-Commerce</link>
  <description><![CDATA[Artificial Intelligence for Electronic Commerce; 
papers from the AAAI Workshop

Tim Finin and Benjamin Grosof, Cochairs, AAAI Technical Report WS-99-01, 143 pp.

ISBN 1-57735-085-5



Electronic commerce is the buying and selling of goods and services in cyberspace. Already a multi-billion-dollar segment of the world economy, it is a fast-growing and exciting field. This workshop addressed the challenges, opportunities, practical applications, and theoretical aspects of using AI in ...]]></description>
  <dc:date>1999-07-19</dc:date>
 </item>
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