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          <dc:title>Strongly Normalizing Audited Computation</dc:title>
          <dc:creator>Ricciotti, Wilmer</dc:creator>
          <dc:creator>Cheney, James</dc:creator>
          <dc:subject>lambda calculus</dc:subject>
          <dc:subject>justification logic</dc:subject>
          <dc:subject>strong normalization</dc:subject>
          <dc:subject>audited computation</dc:subject>
          <dc:description>Auditing is an increasingly important operation for computer programming, for example in security (e.g. to enable history-based access control) and to enable reproducibility and accountability (e.g. provenance in scientific programming).  Most proposed auditing techniques are ad hoc or treat auditing as a second-class, extralinguistic operation; logical or semantic foundations for auditing are not yet well-established. Justification Logic (JL) offers one such foundation; Bavera and Bonelli introduced a computational interpretation of JL called lambda^h that supports auditing. However, lambda^h is technically complex and strong normalization was only established for special cases. In addition, we show that the equational theory of lambda^h is inconsistent. We introduce a new calculus lambda^hc that is simpler than lambda^hc, consistent, and strongly normalizing. Our proof of strong normalization is formalized in Nominal Isabelle.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Wilmer Ricciotti and James Cheney</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 82, 26th EACSL Annual Conference on Computer Science Logic (CSL 2017)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.CSL.2017.36</dc:identifier>
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