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Knowledge-Based Synthesis of Distributed Systems Using Event Structures

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Logic for Programming, Artificial Intelligence, and Reasoning (LPAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3452))

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Abstract

To produce a program guaranteed to satisfy a given specification one can synthesize it from a formal constructive proof that a computation satisfying that specification exists. This process is particularly effective if the specifications are written in a high-level language that makes it easy for designers to specify their goals. We consider a high-level specification language that results from adding knowledge to a fragment of Nuprl specifically tailored for specifying distributed protocols, called event theory. We then show how high-level knowledge-based programs can be synthesized from the knowledge-based specifications using a proof development system such as Nuprl. Methods of Halpern and Zuck [15] then apply to convert these knowledge-based protocols to ordinary protocols. These methods can be expressed as heuristic transformation tactics in Nuprl.

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Authors and Affiliations

  1. Department of Computer Science, Cornell University, Ithaca, NY, 14853, USA

    Mark Bickford, Robert C. Constable, Joseph Y. Halpern & Sabina Petride

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  1. Mark Bickford
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  2. Robert C. Constable
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  3. Joseph Y. Halpern
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  4. Sabina Petride
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Editors and Affiliations

  1. Theoretical Computer Science, TU Dresden, Germany

    Franz Baader

  2. University of Manchester, UK

    Andrei Voronkov

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© 2005 Springer-Verlag Berlin Heidelberg

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Bickford, M., Constable, R.C., Halpern, J.Y., Petride, S. (2005). Knowledge-Based Synthesis of Distributed Systems Using Event Structures. In: Baader, F., Voronkov, A. (eds) Logic for Programming, Artificial Intelligence, and Reasoning. LPAR 2005. Lecture Notes in Computer Science(), vol 3452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32275-7_30

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  • DOI: https://doi.org/10.1007/978-3-540-32275-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25236-8

  • Online ISBN: 978-3-540-32275-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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