Resolution-based calculi for modal and temporal logics

Automatic reasoning tools play an important role when developing provably correct software. Both main approaches, program verification and program synthesis employ automated reasoning tools, more specifically, automated theorem provers. Besides classical logic, non-classical logics are particularly relevant in this field. This chapter presents calculi to automate theorem proving in classical and some important non-classical logics, namely first-order intuitionistic and first-order modal logics. These calculi are based on the connection method, which permits a goal-oriented and, hence, a more efficient proof search. The connection calculi for these non-classical logics extend the calculus for classical logic in an elegant and uniform way by adding so-called prefixes to atomic formulae. The leanCoP theorem prover is a very compact PROLOG implementation of the connection calculus for classical logics. We present details of the implementation and describe some basic techniques to improve its efficiency. leanCoP is adapted to non-classical logics by integrating a prefix unification algorithm, which depends on the specific logic. This results in leading theorem provers for the aforementioned non-classical logics.

We consider some advanced topics in logic including fuzzy logic, temporal logic, intuitionist logic, undefined values in logic, logic and AI and theorem provers. Fuzzy logic is an extension of classical logic that acts as a mathematical model for vagueness. Temporal logic is concerned with the expression of properties that have time dependencies. Brouwer and others developed intuitionist logic as the logical foundation for intuitionism, which was a controversial theory of the foundations of mathematics based on a rejection of the law of the excluded middle and an insistence on constructive existence. We discuss several approaches that have been applied to dealing with undefined values that arise with partial functions including the logic of partial functions; Dijkstra’s approach with his cand and cor operators; and Parnas’s approach which preserves a classical two-valued logic.

This paper shows the relation between linear temporal logic and theory of languages of concurrent processes. To this purpose, we give an algebraic correspondence between temporal logic systems and some non deterministic sequential machines. This correspondence lies on an effective method which composes machines as temporal operators. So we can synthetise processes from temporal logic formulas and solve logic problems by algorithms applied to machines.KeywordsTemporal LogicLinear Temporal LogicTemporal Logic FormulaNous AllonsBranch Time Temporal LogicThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This paper considers the problem of power systems load voltage control in order to satisfy formula expresses in temporal logics. Temporal logic can be used for expressing the coordination and sequencing of multiple agent controllers. In order to implement temporal logic control of power system, the paper first construct discrete abstraction of load voltage control system through its continuous state space decomposition, and then defines some specification propositions for OLTC regulation, load shedding relay and capacitor bank switching, and finally generates the temporal logic formula for power system load voltage control. This temporal logic formula is a supervisor of multiple agent coordination control. Some cases taking temporal logic formulas as specifications were simulated, and the results display that the temporal logic control for power system control synthesis is extremely significant

In this paper we present a translation principle, called the axiomatic translation , for reducing propositional modal logics with background theories, including triangular properties such as transitivity, Euclideanness and functionality, to decidable fragments of first-order logic. The goal of the axiomatic translation principle is to find simplified theories, which capture the inference problems in the original theory, but in a way that can be readily automated and is easier to deal with by existing (first-order) theorem provers than the standard translation. The principle of the axiomatic translation is conceptually very simple and can be almost completely automated. Soundness is automatic under reasonable assumptions, general decidability results can be stated and termination of ordered resolution is easily achieved. The non-trivial part of the approach is proving completeness. We prove results of completeness, decidability, model generation, the small model property and the interpolation property for a number of common and less common modal logics. We also present results of experiments with a number of first-order logic theorem provers which are very encouraging.

We give a linear nested sequent calculus for the basic normal tense logic \(\mathsf {Kt}\). We show that the calculus enables backwards proof-search, counter-model construction and syntactic cut-elimination. Linear nested sequents thus provide the minimal amount of nesting necessary to provide an adequate proof-theory for modal logics containing converse. As a bonus, this yields a cut-free calculus for symmetric modal logic \(\mathsf {KB}\).

Full classical S5 in natural deduction with weak normalization

We add strong negation N to classical logic and interpret the attack relation of ‘x attacks y’ in argumentation as (x→Ny)⁠. We write a corresponding object level (using N only) classical theory for each argumentation network and show that the classical models of this theory correspond exactly to the complete extensions of the argumentation network. We show by example how this approach simplifies the study of abstract argumentation networks. We compare with other translations of abstract argumentation networks into logic, such as classical predicate logic or modal logics, or logic programming, and we also compare with Abstract Dialectical Frameworks.

1 Modal logic: a semantic perspective

17 Automata-theoretic techniques for temporal reasoning

In this paper, a motion planning system based on predictive control and temporal logic specifications is established for the welding dual-arm robot with gantry. Firstly, based on the spatial structure of the dual-arm robot with gantry, a novel mathematical model is presented between the joint variables and the terminal attitude and the quaternion replaces the Euler Angle to describe the posture for avoiding gimbal lock. Then a constraint model predictive controller is constructed for the multi-variable, nonlinear and coupling model of the robot and the constraints of the environment. Meanwhile, the temporal logic formula is used for describing the complex welding tasks and reducing the workload of repeated programming. Next the expectation values and constraints are converted by the temporal logic formula will be sent to the predictive controller one by one. Finally, the simulation result shows that the system can effectively solve the problem of motion planning for the welding dual-arm robot with gantry.

In bounded model checking (BMC) a system is modeled with a finite automaton and various desired properties with temporal logic formulae. Property verification is achieved by translation into boolean logic and the application of SAT-solvers. bounded satisfiability checking (BSC) adopts a similar approach, but both the system and the properties are modeled with temporal logic formulae, without an underlying operational model. Hence, BSC supports a higher-level, descriptive approach to system specification and analysis. We compare the performance of BMC and BSC over a set of case studies, using the Zot tool to translate automata and temporal logic formulae into boolean logic. We also propose a method to check whether an operational model is a correct implementation (refinement) of a temporal logic model, and assess its effectiveness on the same set of case studies. Our experimental results show the feasibility of BSC and refinement checking, with modest performance loss w.r.t. BMC.

There are two typical ways to formalize reasoning over time. The first is in a modal logic where time is characterized implicitly through tense operators. The second addresses time explicitly in a first-order theory, where the reasoning is itself essentially first order. In this paper we shall introduce an amalgamated temporal logic which combines the tense operators of the modal approach with the referential aspects of the first-order approach.The modal operators of the new logic, called IQ-C, include the familiar tense operators plus a few new ones; together they allow complex temporal propositions to be represented in a compact form. Unlike standard modal temporal logics, IQ-C contains terms which refer to times; this allows the logic to characterize certain temporal properties and operators which cannot be axiomatized or defined by conventional modal operators. IQ-C is expressively complete over any connected flow of time, and has several other interesting theoretical properties, some of which will be developed in this paper.Most interval logics take one of two approaches to temporal assertions; either they analyze assertions for intervals in terms of assertions at points, or they treat intervals as primitive, allowing assertions for intervals but not at points. IQ-C allows assertions both for intervals and at points, and treats them as independent; this yields a special degree of semantic discrimination and at the same time simplifies the representation of several temporal properties. In this paper we shall outline the IQ-C framework, specifying its special features and defining its semantics. We shall also extend a method of skolemization, which is designed to support a resolution based approach to the proof theory. This will be sketched in some detail, with a view to providing a preliminary account of the basic proof theory. A complete specification of the deductive theory, together with relevant proofs, will be developed elsewhere.KeywordsIntervalsPointsTemporal Representation and ExpressivenessHomogeneitySkolemizationand Modal Theorem Proving

We present a tableau-based algorithm for obtaining an automaton from a temporal logic formula. The algorithm is geared towards being used in model checking in an “on-the-fly” fashion, that is the automaton can be constructed simultaneously with, and guided by, the generation of the model. In particular, it is possible to detect that a property does not hold by only constructing part of the model and of the automaton. The algorithm can also be used to check the validity of a temporal logic assertion. Although the general problem is PSPACE-complete, experiments show that our algorithm performs quite well on the temporal formulas typically encountered in verification. While basing linear-time temporal logic model-checking upon a transformation to automata is not new, the details of how to do this efficiently, and in “on-the-fly” fashion have never been given.

Temporal logic query checking was first introduced by W. Chan in order to speed up design understanding by discovering properties not known a priori. A query is a temporal logic formula containing a special symbol ?/sub 1/, known as a placeholder. Given a Kripke structure and a propositional formula /spl phi/, we say that /spl phi/ satisfies the query if replacing the placeholder by /spl phi/ results in a temporal logic formula satisfied by the Kripke structure. A solution to a temporal logic query on a Kripke structure is the set of all propositional formulas that satisfy the query. Query checking helps discover temporal properties of a system and, as such, is a useful tool for model exploration. In this paper, we show that query checking is applicable to a variety of model exploration tasks, ranging from invariant computation to test case generation. We illustrate these using a Cruise Control System. Additionally, we show that query checking is an instance of a multi-valued model checking of Chechik et al. This approach enables us to build an implementation of a temporal logic query checker, TLQSolver, on top of our existing multi-valued model checker /sub /spl chi//Chek. It also allows us to decide a large class of queries and introduce witnesses for temporal logic queries-an essential notion for effective model exploration.