Reduced Dependency Spaces for Existential Parameterised Boolean Equation Systems

Yutaro Nagae
(Nagoya University)
Masahiko Sakai
(Nagoya University)

A parameterised Boolean equation system (PBES) is a set of equations that defines sets satisfying the equations as the least and/or greatest fixed-points. Thus this system is regarded as a declarative program defining predicates, where a program execution returns whether a given ground atomic formula holds or not. The program execution corresponds to the membership problem of PBESs, which is however undecidable in general.

This paper proposes a subclass of PBESs which expresses universal-quantifiers free formulas, and studies a technique to solve the problem on it. We use the fact that the membership problem is reduced to the problem whether a proof graph exists. To check the latter problem, we introduce a so-called dependency space which is a graph containing all of the minimal proof graphs. Dependency spaces are, however, infinite in general. Thus, we propose some conditions for equivalence relations to preserve the result of the membership problem, then we identify two vertices as the same under the relation. In this sense, dependency spaces possibly result in a finite graph. We show some examples having infinite dependency spaces which are reducible to finite graphs by equivalence relations. We provide a procedure to construct finite dependency spaces and show the soundness of the procedure. We also implement the procedure using an SMT solver and experiment on some examples including a downsized McCarthy 91 function.

In Horatiu Cirstea and David Sabel: Proceedings Fourth International Workshop on Rewriting Techniques for Program Transformations and Evaluation (WPTE 2017), Oxford, UK, 8th September 2017, Electronic Proceedings in Theoretical Computer Science 265, pp. 67–81.
Published: 16th February 2018.

ArXived at: http://dx.doi.org/10.4204/EPTCS.265.6 bibtex PDF
References in reconstructed bibtex, XML and HTML format (approximated).
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org