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<item>
  <id>06024783</id>
  <dt>j</dt>
  <an>06024783</an>
  <augroup>
    <au>Srivastava, Iddharth</au>
  </augroup>
  <ti>Foundations and applications of generalized planning category: thesis.</ti>
  <so>AI Commun. 24, No. 4, 349-351 (2011).</so>
  <py>2011</py>
  <pu>IOS Press, Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>automated planning</ut>
    <ut>plan generalization</ut>
    <ut>handling unbounded state spaces</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>http://iospress.metapress.com/content/d2m461470001x678/fulltext.html</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Generalized planning problems capture planning problems with uncertainties in object quantities and properties. While the generalized planning problem is incomputable in general, this thesis presents a new formalization of the problem, a study of the limits of computability of generalized plans and algorithms for solving a broad class of generalized planning problems.</ab>
    <rv></rv>
  </abgroup>
</item>