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          <dc:title>Congestion games with failures</dc:title>
          <dc:creator>Penn, Michal</dc:creator>
          <dc:creator>Polukarov, Maria</dc:creator>
          <dc:creator>Tennenholtz, Moshe</dc:creator>
          <dc:subject>compact representation of games</dc:subject>
          <dc:subject>congestion games</dc:subject>
          <dc:subject>local-effect games</dc:subject>
          <dc:subject>action-graph gamescomputational markets; auctions; bidding strategiesNegotiatio</dc:subject>
          <dc:description>We introduce a new class of games, congestion games with&#13;
failures (CGFs), which extends the class of congestion games to&#13;
allow for facility failures. In a CGF agents share a common set of&#13;
facilities (service providers), where each service provider (SP)&#13;
may fail with some known probability. For reliability reasons, an&#13;
agent may choose a subset of the SPs in order to try and perform&#13;
his task. The cost of an agent for utilizing any SP is an&#13;
agent-specific function of the total number of agents using this&#13;
SP. A main feature of this setting is that the cost for an agent&#13;
for successful completion of his task is the minimum of the costs&#13;
of his successful attempts. We show that although congestion games&#13;
with failures do not admit a potential function, and thus are not&#13;
isomorphic to classic congestion games, they always possess a&#13;
pure-strategy Nash equilibrium.  Moreover, an efficient algorithm&#13;
for the construction of pure-strategy Nash equilibrium profile is&#13;
presented. We also show that the SPs congestion experienced in&#13;
different Nash equilibria is (almost) unique. For the subclass of&#13;
symmetric CGFs we give a characterization of best and worst Nash&#13;
equilibria, present algorithms for their construction, and compare&#13;
the social disutilities of the agents at these points.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michal Penn and Maria Polukarov and Moshe Tennenholtz</dc:contributor>
          <dc:date>2005</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 5011, Computing and Markets (2005)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/DagSemProc.05011.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-2098</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05011.7</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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