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Titlebook: Automated Deduction - CADE-18; 18th International C Andrei Voronkov Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Auto

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https://doi.org/10.1007/978-3-7643-8234-6he safety policy includes proof rules which determine how various actions are to be proved safe. These proof rules have been considered part of the trusted code base (TCB) of the PCC system. We wish to remove the proof rules from the TCB by providing a formal proof of their soundness. This makes the
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https://doi.org/10.1007/978-3-662-22652-0ives. This logic, with its sharing interpretation, has been recently used to reason about mutable data structures and needs proof search methods. Our connection-based characterization for . is based on standard notions but involves, in a specific way, labels and constraints in order to capture the i
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https://doi.org/10.1007/978-3-662-22652-0l variables and . is an integer constant. Formulae are represented in a semi-canonical data structure called difference decision diagrams (DDDs) which provide efficient algorithms for constructing formulae with the standard Boolean operators (conjunction, disjunction, negation, etc.), eliminating qu
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https://doi.org/10.1007/978-3-662-07499-2basic modal language with the addition of nominals (.) and satisfiability operators (@., @., @.,...), increases the expressive power: it can explicitly check whether the point of evaluation is a specific, named point in the model (. ⊩ ., and whether a named point satisfies a given formula (. ⊩ @.).
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