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Theoretical Computer Science
Volume 357, Issues 1-3, 25 July 2006, Pages 23-34
Clifford Lectures and the Mathematical Foundations of Programming Semantics
 
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doi:10.1016/j.tcs.2006.03.010    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

Making knowledge explicit: How hard it is

Vladimir Brezhneva, Corresponding Author Contact Information, E-mail The Corresponding Author and Roman Kuznetsb, 1, E-mail The Corresponding Author

aLaboratory of Logical Problems in Computer Science, Faculty of Mechanics and Mathematics, Moscow State University, Vorob’evy Gory, Moscow, 119992, Russia bPh.D. Program in Computer Science, CUNY Graduate Center, 365 Fifth Avenue, New York, NY 10016, USA

Available online 17 April 2006.

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Abstract

Artemov's logic of proofs View the MathML source is a complete calculus of propositions and proofs, which is now becoming a foundation for the evidence-based approach to reasoning about knowledge. Additional atoms in View the MathML source have form t:F, read as “t is a proof of F” (or, more generally, as “t is an evidence for F”) for an appropriate system of terms t called proof polynomials. In this paper, we answer two well-known questions in this area. One of the main features of View the MathML source is its ability to realize modalities in any View the MathML source-derivation by proof polynomials thus revealing a statement about explicit evidences encoded in that derivation. We show that the original Artemov's algorithm of building such realizations can produce proof polynomials of exponential length in the size of the initial View the MathML source-derivation. We modify the realization algorithm to produce proof polynomials of at most quadratic length. We also found a modal formula, any realization of which necessarily requires self-referential constants of type c:A(c). This demonstrates that the evidence-based reasoning encoded by the modal logic View the MathML source is inherently self-referential.

Keywords: Logic of proofs; Self-reference; Modal logic


Theoretical Computer Science
Volume 357, Issues 1-3, 25 July 2006, Pages 23-34
Clifford Lectures and the Mathematical Foundations of Programming Semantics
 
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