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<item>
  <id>05850678</id>
  <dt>a</dt>
  <an>05850678</an>
  <augroup>
    <au>Wu, I-Chen</au>
    <au>Lin, Hung-Hsuan</au>
    <au>Lin, Ping-Hung</au>
    <au>Sun, Der-Johng</au>
    <au>Chan, Yi-Chih</au>
    <au>Chen, Bo-Ting</au>
  </augroup>
  <ti>Job-level proof-number search for Connect6.</ti>
  <so>van den Herik, H. Jaap (ed.) et al., Computers and games. 7th international conference, CG 2010, Kanazawa, Japan, September 24--26, 2010. Revised selected papers. Berlin: Springer (ISBN 978-3-642-17927-3/pbk). Lecture Notes in Computer Science 6515, 11-22 (2011).</so>
  <py>2011</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-17928-0_2</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper proposes a new approach for proof number (PN) search, named job-level PN (JL-PN) search, where each search tree node is evaluated or expanded by a heavy-weight job, which takes normally over tens of seconds. Such JL-PN search is well suited for parallel processing, since these jobs are allowed to be performed by remote processors independently. This paper applies JL-PN search to solving automatically several Connect6 positions including openings on desktop grids. For some of these openings, so far no human expert had been able to find a winning strategy. Our experiments also show that the speedups for solving the test positions are roughly linear, fluctuating from sublinear to superlinear. Hence, JL-PN search appears to be a quite promising approach to solving games.</ab>
    <rv></rv>
  </abgroup>
</item>