2,851 research outputs found
Faithful (meta-)encodings of programmable strategies into term rewriting systems
Rewriting is a formalism widely used in computer science and mathematical
logic. When using rewriting as a programming or modeling paradigm, the rewrite
rules describe the transformations one wants to operate and rewriting
strategies are used to con- trol their application. The operational semantics
of these strategies are generally accepted and approaches for analyzing the
termination of specific strategies have been studied. We propose in this paper
a generic encoding of classic control and traversal strategies used in rewrite
based languages such as Maude, Stratego and Tom into a plain term rewriting
system. The encoding is proven sound and complete and, as a direct consequence,
estab- lished termination methods used for term rewriting systems can be
applied to analyze the termination of strategy controlled term rewriting
systems. We show that the encoding of strategies into term rewriting systems
can be easily adapted to handle many-sorted signa- tures and we use a
meta-level representation of terms to reduce the size of the encodings. The
corresponding implementation in Tom generates term rewriting systems compatible
with the syntax of termination tools such as AProVE and TTT2, tools which
turned out to be very effective in (dis)proving the termination of the
generated term rewriting systems. The approach can also be seen as a generic
strategy compiler which can be integrated into languages providing pattern
matching primitives; experiments in Tom show that applying our encoding leads
to performances comparable to the native Tom strategies
Mechanizing the metatheory of sledgehammer
This paper presents an Isabelle/HOL formalization of recent research in automated reasoning: efficient encodings of sorts in unsorted first-order logic, as implemented in Isabelle’s Sledgehammer proof tool. The formalization provides the general-purpose machinery to reason about formulas and models, emulating the theory of institutions. Quantifiers are represented using a nominal-like approach designed for interpreting syntax in semantic domains
Refinement Types for Logical Frameworks and Their Interpretation as Proof Irrelevance
Refinement types sharpen systems of simple and dependent types by offering
expressive means to more precisely classify well-typed terms. We present a
system of refinement types for LF in the style of recent formulations where
only canonical forms are well-typed. Both the usual LF rules and the rules for
type refinements are bidirectional, leading to a straightforward proof of
decidability of typechecking even in the presence of intersection types.
Because we insist on canonical forms, structural rules for subtyping can now be
derived rather than being assumed as primitive. We illustrate the expressive
power of our system with examples and validate its design by demonstrating a
precise correspondence with traditional presentations of subtyping. Proof
irrelevance provides a mechanism for selectively hiding the identities of terms
in type theories. We show that LF refinement types can be interpreted as
predicates using proof irrelevance, establishing a uniform relationship between
two previously studied concepts in type theory. The interpretation and its
correctness proof are surprisingly complex, lending support to the claim that
refinement types are a fundamental construct rather than just a convenient
surface syntax for certain uses of proof irrelevance
Twenty-Five Comparators is Optimal when Sorting Nine Inputs (and Twenty-Nine for Ten)
This paper describes a computer-assisted non-existence proof of nine-input
sorting networks consisting of 24 comparators, hence showing that the
25-comparator sorting network found by Floyd in 1964 is optimal. As a
corollary, we obtain that the 29-comparator network found by Waksman in 1969 is
optimal when sorting ten inputs.
This closes the two smallest open instances of the optimal size sorting
network problem, which have been open since the results of Floyd and Knuth from
1966 proving optimality for sorting networks of up to eight inputs.
The proof involves a combination of two methodologies: one based on
exploiting the abundance of symmetries in sorting networks, and the other,
based on an encoding of the problem to that of satisfiability of propositional
logic. We illustrate that, while each of these can single handed solve smaller
instances of the problem, it is their combination which leads to an efficient
solution for nine inputs.Comment: 18 page
Using Program Synthesis for Program Analysis
In this paper, we identify a fragment of second-order logic with restricted
quantification that is expressive enough to capture numerous static analysis
problems (e.g. safety proving, bug finding, termination and non-termination
proving, superoptimisation). We call this fragment the {\it synthesis
fragment}. Satisfiability of a formula in the synthesis fragment is decidable
over finite domains; specifically the decision problem is NEXPTIME-complete. If
a formula in this fragment is satisfiable, a solution consists of a satisfying
assignment from the second order variables to \emph{functions over finite
domains}. To concretely find these solutions, we synthesise \emph{programs}
that compute the functions. Our program synthesis algorithm is complete for
finite state programs, i.e. every \emph{function} over finite domains is
computed by some \emph{program} that we can synthesise. We can therefore use
our synthesiser as a decision procedure for the synthesis fragment of
second-order logic, which in turn allows us to use it as a powerful backend for
many program analysis tasks. To show the tractability of our approach, we
evaluate the program synthesiser on several static analysis problems.Comment: 19 pages, to appear in LPAR 2015. arXiv admin note: text overlap with
arXiv:1409.492
Relational Parametricity and Control
We study the equational theory of Parigot's second-order
λμ-calculus in connection with a call-by-name continuation-passing
style (CPS) translation into a fragment of the second-order λ-calculus.
It is observed that the relational parametricity on the target calculus induces
a natural notion of equivalence on the λμ-terms. On the other hand,
the unconstrained relational parametricity on the λμ-calculus turns
out to be inconsistent with this CPS semantics. Following these facts, we
propose to formulate the relational parametricity on the λμ-calculus
in a constrained way, which might be called ``focal parametricity''.Comment: 22 pages, for Logical Methods in Computer Scienc
Speeding up the constraint-based method in difference logic
"The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319-40970-2_18"Over the years the constraint-based method has been successfully applied to a wide range of problems in program analysis, from invariant generation to termination and non-termination proving. Quite often the semantics of the program under study as well as the properties to be generated belong to difference logic, i.e., the fragment of linear arithmetic where atoms are inequalities of the form u v = k. However, so far constraint-based techniques have not exploited this fact: in general, Farkas’ Lemma is used to produce the constraints over template unknowns, which leads to non-linear SMT problems. Based on classical results of graph theory, in this paper we propose new encodings for generating these constraints when program semantics and templates belong to difference logic. Thanks to this approach, instead of a heavyweight non-linear arithmetic solver, a much cheaper SMT solver for difference logic or linear integer arithmetic can be employed for solving the resulting constraints. We present encouraging experimental results that show the high impact of the proposed techniques on the performance of the VeryMax verification systemPeer ReviewedPostprint (author's final draft
Efficient Encodings of First-Order Horn Formulas in Equational Logic
We present several translations from first-order Horn formulas to equational logic. The goal of these translations is to allow equational theorem provers to efficiently reason about non-equational problems. Using these translations we were able to solve 37 problems of rating 1.0 (i.e. which had not previously been automatically solved) from the TPTP
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