7 research outputs found
Variant-based Equational Unification under Constructor Symbols
Equational unification of two terms consists of finding a substitution that,
when applied to both terms, makes them equal modulo some equational properties.
A narrowing-based equational unification algorithm relying on the concept of
the variants of a term is available in the most recent version of Maude,
version 3.0, which provides quite sophisticated unification features. A variant
of a term t is a pair consisting of a substitution sigma and the canonical form
of tsigma. Variant-based unification is decidable when the equational theory
satisfies the finite variant property. However, this unification procedure does
not take into account constructor symbols and, thus, may compute many more
unifiers than the necessary or may not be able to stop immediately. In this
paper, we integrate the notion of constructor symbol into the variant-based
unification algorithm. Our experiments on positive and negative unification
problems show an impressive speedup.Comment: In Proceedings ICLP 2020, arXiv:2009.09158. arXiv admin note:
substantial text overlap with arXiv:1909.0824
Termination of Narrowing with Dependency Pairs
In this work, we generalize the Dependency Pairs approach for automated proofs of termination to prove the termination of narrowing.We identify the phenomenon of echoing in infinite narrowing derivations and demonstrate that the new narrowing dependency pairs faithfully capture the shape of such derivations and provide a termination criterion.Iborra López, J. (2008). Termination of Narrowing with Dependency Pairs. http://hdl.handle.net/10251/13622Archivo delegad
Termination of Narrowing: Automated Proofs and Modularity Properties
En 1936 Alan Turing demostro que el halting problem, esto es, el problema de decidir
si un programa termina o no, es un problema indecidible para la inmensa mayoria de
los lenguajes de programacion. A pesar de ello, la terminacion es un problema tan
relevante que en las ultimas decadas un gran numero de tecnicas han sido desarrolladas
para demostrar la terminacion de forma automatica de la maxima cantidad posible de
programas. Los sistemas de reescritura de terminos proporcionan un marco teorico
abstracto perfecto para el estudio de la terminacion de programas. En este marco, la
evaluaci on de un t ermino consiste en la aplicacion no determinista de un conjunto de
reglas de reescritura.
El estrechamiento (narrowing) de terminos es una generalizacion de la reescritura
que proporciona un mecanismo de razonamiento automatico. Por ejemplo, dado un
conjunto de reglas que denan la suma y la multiplicacion, la reescritura permite calcular
expresiones aritmeticas, mientras que el estrechamiento permite resolver ecuaciones
con variables. Esta tesis constituye el primer estudio en profundidad de las
propiedades de terminacion del estrechamiento. Las contribuciones son las siguientes.
En primer lugar, se identican clases de sistemas en las que el estrechamiento tiene
un comportamiento bueno, en el sentido de que siempre termina. Muchos metodos
de razonamiento automatico, como el analisis de la semantica de lenguajes de programaci
on mediante operadores de punto jo, se benefician de esta caracterizacion.
En segundo lugar, se introduce un metodo automatico, basado en el marco teorico
de pares de dependencia, para demostrar la terminacion del estrechamiento en un
sistema particular. Nuestro metodo es, por primera vez, aplicable a cualquier clase
de sistemas.
En tercer lugar, se propone un nuevo metodo para estudiar la terminacion del
estrechamiento desde un termino particular, permitiendo el analisis de la terminacion
de lenguajes de programacion. El nuevo metodo generaliza losIborra López, J. (2010). Termination of Narrowing: Automated Proofs and Modularity Properties [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/19251Palanci
Variant-Based Satisfiability
Although different satisfiability decision procedures
can be combined by algorithms such as those of Nelson-Oppen or
Shostak, current tools typically can only support a finite number of
theories to use in such combinations. To make SMT solving more
widely applicable, generic satisfiability algorithms that can
allow a potentially infinite number of decidable theories to be
user-definable, instead of needing to be built in by the
implementers, are highly desirable. This work studies how
folding variant narrowing, a generic
unification algorithm that offers
good extensibility in unification theory, can be extended to
a generic variant-based satisfiability algorithm for the initial
algebras of its user-specified input theories when such theories
satisfy Comon-Delaune's finite variant property (FVP) and some
extra conditions. Several, increasingly larger infinite classes of
theories whose initial algebras enjoy decidable variant-based satisfiability
are identified, and a method based on descent maps to bring other theories
into these classes and to improve the generic
algorithm's efficiency is proposed and illustrated with examples.Partially supported by NSF Grant CNS 13-19109.Ope