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        <identifier>oai:drops-oai.dagstuhl.de:219</identifier>
        <datestamp>2024-03-06T11:06:06Z</datestamp>
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          <dc:title>Local-Effect Games</dc:title>
          <dc:creator>Leyton-Brown, Kevin</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</dc:subject>
          <dc:description>This talk will survey two graphical models which the authors have proposed &#13;
for compactly representing single-shot, finite-action games in which a large &#13;
number of agents contend for scarce resources.  &#13;
&#13;
The first model considered is Local-Effect Games (LEGs). These games often &#13;
(but not always) have pure-strategy Nash equilibria. Finding a potential &#13;
function is a good technique for finding such equilibria. We give a complete &#13;
characterization of which LEGs have potential functions and provide the &#13;
functions in each case; we also show a general case where pure-strategy &#13;
equilibria exist in the absence of potential functions. &#13;
&#13;
Action-graph games (AGGs) are a fully expressive game representation which &#13;
can compactly express both strict and context-specific independence between &#13;
players' utility functions, and which generalize LEGs. We present algorithms &#13;
for computing both symmetric and arbitrary equilibria of AGGs, based on a &#13;
continuation method proposed by Govindan and Wilson. We analyze the worst-&#13;
case cost of computing the Jacobian of the payoff function, the exponential-&#13;
time bottleneck step of this algorithm, and in all cases achieve exponential &#13;
speedup. When the indegree of G is bounded by a constant and the game is &#13;
symmetric, the Jacobian can be computed in polynomial time.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Kevin Leyton-Brown 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>
          <dc:type>publishedVersion</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/DagSemProc.05011.11</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-2190</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05011.11</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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