Titlebook: Logic Programming and Automated Reasoning; 4th International Co Andrei Voronkov Conference proceedings 1993 Springer-Verlag Berlin Heidelbe

Jubilation

,Linear 0–1 inequalities and extended clauses, transforming an arbitrary linear 0–1 inequality into a set of extended clauses, such that the solution space remains invariant. The method relies on cutting planes techniques known from integer programming. We develop special redundancy criteria and can so produce the minimal number of extended cla

商业上

Search space pruning by checking dynamic term growth,ns known from approaches to preclude infinite loops in the field of logic programming. The general idea is to predetermine what may happen to a term while performing inference steps. Various well-known techniques and results of the theory of formal languages are used. The strength of our technique i

玩忽职守

过多

Meager

Yet another application for Toupie: Verification of mutual exclusion algorithms, demonstrated that such a language can model and solve difficult problems, such as AI Puzzles, Abstract Interpretation of Logic Programs with very good running times. Hereafter we show how, in Toupie, one can handle transition systems and check properties of Mutual Exclusion Algorithms.

ablate

压碎

BANAL

顾客

Static analysis of Prolog with cut, merely ignored..Our method consists in trasforming an interpreter for Prolog into an interpreter that computes on abstract values and that performs loop-checks by storing all encountered call patterns into a table. In order to guarantee correctness, this tabled interpreter needs information about t

毛细血管

A new type theory for representing logics,parently for the first time, general definitions which capture how well a logic has been represented. Using our definitions, we show that, for example, first-order logic can be wellrepresented in LF., whereas linear and relevant logics cannot. These syntactic definitions of representation have a sim