Titlebook: Logic for Programming, Artificial Intelligence, and Reasoning; 20th International C Martin Davis,Ansgar Fehnker,Andrei Voronkov Conference

DEIFY

书目名称Logic for Programming, Artificial Intelligence, and Reasoning影响因子(影响力)




书目名称Logic for Programming, Artificial Intelligence, and Reasoning影响因子(影响力)学科排名




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书目名称Logic for Programming, Artificial Intelligence, and Reasoning网络公开度学科排名




书目名称Logic for Programming, Artificial Intelligence, and Reasoning被引频次




书目名称Logic for Programming, Artificial Intelligence, and Reasoning被引频次学科排名




书目名称Logic for Programming, Artificial Intelligence, and Reasoning年度引用




书目名称Logic for Programming, Artificial Intelligence, and Reasoning年度引用学科排名




书目名称Logic for Programming, Artificial Intelligence, and Reasoning读者反馈




书目名称Logic for Programming, Artificial Intelligence, and Reasoning读者反馈学科排名

马具

,Implicit Computational Complexity of Subrecursive Definitions and Applications to Cryptographic Prope inference algorithm which critically exploits the subrecursive nature of .. Finally, we demonstrate the usefulness of . for analyzing the complexity of cryptographic reductions by providing an upper bound for the constructed adversary of the Goldreich-Levin theorem.

JAMB

Conference proceedings 2015where, year after year,some of the most renowned researchers in the areas of logic, automatedreasoning, computational logic, programming languages and their applicationscome to present cutting-edge results, to discuss advances in these fields, andto exchange ideas in a scientifically emerging part of the world..

hemophilia

Skolemization for Substructural Logics,ltiple new function symbols. These logics typically lack equivalent prenex forms. Also, semantic consequence does not in general reduce to satisfiability. The Skolemization theorems presented here therefore take various forms, applying to the left or right of the consequence relation, and to all formulas or only prenex formulas.

辞职

FEMaLeCoP: Fairly Efficient Machine Learning Connection Prover,nternal inference algorithms of theorem provers by knowledge learned from previous proofs can significantly improve the performance of the provers. This paper describes the system, discusses the technology developed, and evaluates the system.

蕨类

碎片

TIP: Tools for Inductive Provers,main job is to encode aspects of the problem that are not natively supported by the respective provers. TIP makes it easier to write inductive provers, by supplying necessary tools such as lemma discovery which prover authors can simply import into their own prover.

Visual-Acuity

0302-9743 putational logic, programming languages and their applicationscome to present cutting-edge results, to discuss advances in these fields, andto exchange ideas in a scientifically emerging part of the world..978-3-662-48898-0978-3-662-48899-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

不规则

Boolean Formulas for the Static Identification of Injection Attacks in Java,rks by translating the program into Boolean formulas that model all possible flows. We implemented it within the Julia analyzer for Java and Android. Julia found injection security vulnerabilities in the Internet banking service and in the customer relationship management of a large Italian bank.

Ptosis