Nominal unification is an extension of first-order unification that takes into account the α-equivalence relation generated by binding operators, following the nominal approach. We propose a sound and complete procedure for nominal unification with commutative operators, or nominal C-unification for short, which has been formalised in Coq. The procedure transforms nominal C-unification problems into simpler (finite families) of fixpoint problems, whose solutions can be generated by algebraic techniques on combinatorics of permutations. IntroductionUnification, where the goal is to solve equations between first-order terms, is a key notion in logic programming systems, type inference algorithms, protocol analysis tools, theorem provers, etc. Solutions to unification problems are represented by substitutions that map variables (X, Y, . . . ) to terms.When terms include binding operators, a more general notion of unification is needed: unification modulo α-equivalence. In this paper, we follow the nominal approach to the specification of binding operators [20,30,26], where the syntax of terms includes, in addition to variables, also atoms (a, b, . . . ), which can be abstracted, and α-equivalence is axiomatised by means of a freshness relation a#t and name-swappings (a b). For example, the first-order logic formula ∀a.a ≥ 0 can be written as a nominal term ∀([a]geq(a, 0)), using function symbols ∀ and geq and an abstracted atom a. Nominal unification [30] is the problem of solving equations between nominal terms modulo α-equivalence; it is a decidable problem and efficient nominal unification algorithms are available [11,9,24], that compute solutions consisting of freshness contexts (containing freshness constraints of the form a#X) and substitutions.In many applications, operators obey equational axioms. Nominal reasoning and unification have been extended to deal with equational theories presented by rewrite rules (see, e.g., [18,17,5]) or defined by equational axioms (see, e.g., [14,19]). The case of associative and commutative nominal theories was considered in [3], where a parametric {α, AC}-equivalence relation was formalised in ⋆ Work supported by the Brazilian agencies FAPDF (DE 193.001.369/2016), CAPES (Proc. 88881.132034/2016-01, 2nd author) and CNPq (PQ 307009/2013, 1st author). M. Ayala-Rincón, W. de Carvalho, M. Fernández, D. Nantes-SobrinhoCoq. However, only equational deduction was considered (not unification). In this paper, we study nominal C-unification.Contributions: We present a nominal C-unification algorithm, based on a set of simplification rules, which transforms a given nominal C-unification problem ∆, Q , where ∆ is a freshness context and Q a set of freshness constraints and equations, respectively of the form a# ? s and s ≈ ? t, into a finite set of triples of the form ∇, σ, P , consisting of a freshness context ∇, a substitution σ and a set of fixpoint equations P , of the form π.X ≈ ? X. The simplifications are based on the deduction rules for freshness and α-C-equivalence (denoted as ≈...
Abstract. Highly accurate positioning systems and new broadcasting technology have enabled air traffic management concepts where the responsibility for aircraft separation resides on pilots rather than on air traffic controllers. The Formal Methods Group at the National Institute of Aerospace and NASA Langley Research Center has proposed and formally verified an algorithm, called KB3D, for distributed three dimensional conflict resolution. KB3D computes resolution maneuvers where only one component of the velocity vector, i.e., ground speed, vertical speed, or heading, is modified. Although these maneuvers are simple to implement by a pilot, they are not necessarily optimal from a geometrical point of view. In general, optimal resolutions require the combination of all the components of the velocity vector. In this paper, we propose a two dimensional version of KB3D, which we call KB2D, that computes resolution maneuvers that are optimal with respect to ground speed and heading changes. The algorithm has been mechanically verified in the Prototype Verification System (PVS). The verification relies on algebraic proof techniques for the manipulation of the geometrical concepts relevant to the algorithm as well as standard deductive techniques available in PVS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.