Titlebook: Constraints in Computational Logics; First International Jean-Pierre Jouannaud Conference proceedings 1994 Springer-Verlag Berlin Heidelbe

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Lecture Notes in Computer Science (both eager and lazy) and concurrent objects with encapsulated state and multiple inheritance. The primitives of the .-calculus are logic variables, names, procedural abstraction, and cells. Cells provide a notion of state that is fully compatible with concurrency and constraints. Although it does

新奇

Lecture Notes in Computer Sciencecution and resemble terms of a process algebra. The algorithm uses unification for the (essentially) free algebra of types and algebraic reconstruction for collecting constraints for the non-free algebra of behaviours. The algorithm and the statement and proof of soundness are designed so as to make

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Marcos Villagra,Abuzer Yakary?lmazogramming with first-order constraints, and subsumes higher-order functional programming as a special case. It captures important aspects of the concurrent constraint programming language Oz. We prove the uniform confluence of the .-calculus. Uniform confluence implies that all maximal derivations i

FLEET

Ukrainian Migration to the European Unionts of a free variable are always .-equal to distinct bound variables. A pattern is called . if it can be written as λ.. ... λ...s.+...+.., where + is an AC function symbol and each .. is either a bound variable or a subterm starting with a free variable. As the main part of the paper, we propose an

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Decrepit

https://doi.org/10.1007/978-3-319-42243-5all, usually in the context of a recursive procedure. It has been noted that such inequalities need only be tested for consistency with the current constraint set, thus resulting in dramatic savings in execution speed and space usage. We generalize the notion of future redundancy in a number of ways

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Intact

The California Current Upwelling System,. constraint-solver of the clp(FD) system. Besides the clp(FD) . encoding (partial) arc-consistency methods, we introduce new primitive constraints, that we call ., which encode path-consistency methods. We describe how to accommodate these new constraints in the clp(FD) extended WAM architecture.

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Liliana Miranda Sara,Karin Pfeffer,Isa Baudcord calculus that has neither concatenation nor adjunction but is still sufficient for object-oriented languages with top-level classes. The type discipline features extensible record types and recursive types. For the formalization of the type inference algorithm and for the proofs showing its cor