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        <datestamp>2024-03-06T11:04:33Z</datestamp>
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          <dc:title>Enumerating Error Bounded Polytime Algorithms Through Arithmetical Theories</dc:title>
          <dc:creator>Antonelli, Melissa</dc:creator>
          <dc:creator>Dal Lago, Ugo</dc:creator>
          <dc:creator>Davoli, Davide</dc:creator>
          <dc:creator>Oitavem, Isabel</dc:creator>
          <dc:creator>Pistone, Paolo</dc:creator>
          <dc:subject>Bounded Arithmetic</dc:subject>
          <dc:subject>Randomized Computation</dc:subject>
          <dc:subject>Implicit Computational Complexity</dc:subject>
          <dc:description>We consider a minimal extension of the language of arithmetic, such that the bounded formulas provably total in a suitably-defined theory à la Buss (expressed in this new language) precisely capture polytime random functions. Then, we provide two new characterizations of the semantic class BPP obtained by internalizing the error-bound check within a logical system: the first relies on measure-sensitive quantifiers, while the second is based on standard first-order quantification. This leads us to introduce a family of effectively enumerable subclasses of BPP, called BPP_T and consisting of languages captured by those probabilistic Turing machines whose underlying error can be proved bounded in T. As a paradigmatic example of this approach, we establish that polynomial identity testing is in BPP_T, where T = IΔ₀+Exp is a well-studied theory based on bounded induction.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Melissa Antonelli and Ugo Dal Lago and Davide Davoli and Isabel Oitavem and Paolo Pistone</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 288, 32nd EACSL Annual Conference on Computer Science Logic (CSL 2024)</dc:relation>
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          <dc:language>eng</dc:language>
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