Titlebook: Automated Deduction -- CADE-23; 23rd International C Nikolaj Bj?rner,Viorica Sofronie-Stokkermans Conference proceedings 2011 Springer-Verl

貧困

magnanimity

insipid

Compression of Propositional Resolution Proofs via Partial Regularization,path from . to the root of the proof. The second algorithm, ., delays the resolution of (both input and derived) unit clauses, thus removing (some) inferences having the same pivot but possibly occurring also in different branches of the proof.

易于出錯(cuò)

挖掘

Translating between Language and Logic: What Is Easy and What Is Difficult,e and stylistically varied. However, a fully general translation between logic and natural language also poses difficult, even unsolvable problems. This paper investigates what can be realistically expected and what problems are hard.

傷心

ASASP: Automated Symbolic Analysis of Security Policies,roving. . has been successfully applied to the analysis of benchmark problems arising in (extensions of) the Role-Based Access Control model. Our tool shows better scalability than a state-of-the-art tool on a significant set of instances of these problems.

規(guī)范就好

Backward Trace Slicing for Rewriting Logic Theories, dynamically simplifies the traces by detecting control and data dependencies, and dropping useless data that do not influence the final result. Our methodology is particularly suitable for analyzing complex, textually-large system computations such as those delivered as counter-example traces by Maude model-checkers.

agonist

The Matita Interactive Theorem Prover,then evolved into a fully fledged ITP, specifically designed as a light-weight, but competitive system, particularly suited for the assessment of innovative ideas, both at foundational and logical level. In this paper, we give an account of the whole system, its peculiarities and its main applications.

OREX

Airtight

Exploiting Symmetry in SMT Problems,of such symmetries is presented. The implementation of this algorithm in the SMT-solver . is used to illustrate the practical benefits of this approach. It results in a significant improvement of .’s performances on the SMT-LIB benchmarks that places it ahead of the winners of the last editions of the SMT-COMP contest in the QF_UF category.