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The L-Framework Structural Proof Theory in Rewriting Logic
The L-Framework Structural Proof Theory in Rewriting Logic Carlos Olarte Joint work with Elaine Pimentel and Camilo Rocha. Avispa 25 Años Logical Frameworks Consider the following inference rule (tensor in Linear Logic): Γ ⊢ ∆ ⊢ F G i Γ; ∆ ⊢ F i G R Horn Clauses (Prolog) prove Upsilon (F tensor G) :- split Upsilon Gamma Delta, prove Gamma F, prove Delta G . Rewriting Logic (Maude) rl [tensorR] : Gamma, Delta |- F x G => (Gamma |- F) , (Delta |-G) . Gap between what is represented and its representation Rewriting Logic can rightfully be said to have “-representational distance” as a semantic and logical framework. (José Meseguer) Carlos Olarte, Joint work with Elaine Pimentel and Camilo Rocha. 2 Where is the Magic ? Rewriting logic: Equational theory + rewriting rules a Propositional logic op empty : -> Context [ctor] . op _,_ : Context Context -> Context [assoc comm id: empty] . eq F:Formula, F:Formula = F:Formula . --- idempotency a Linear Logic (no weakening / contraction) op _,_ : Context Context -> Context [assoc comm id: empty] . a Lambek’s logics without exchange op _,_ : Context Context -> Context . The general point is that, by choosing the right equations , we can capture any desired structural axiom. (José Meseguer) Carlos Olarte, Joint work with Elaine Pimentel and Camilo Rocha. 3 Determinism vs Non-Determinism Back to the tensor rule: Γ ⊢ F ∆ ⊢ G Γ; F1; F2 ⊢ G iR iL Γ; ∆ ⊢ F i G Γ; F1 i F2 ⊢ G Equations Deterministic (invertible) rules that can be eagerly applied. eq [tensorL] : Gamma, F1 * F2 |- G = Gamma, F1 , F2 |- G . Rules Non-deterministic (non-invertible) rules where backtracking is needed. -
Notes on Proof Theory
Notes on Proof Theory Master 1 “Informatique”, Univ. Paris 13 Master 2 “Logique Mathématique et Fondements de l’Informatique”, Univ. Paris 7 Damiano Mazza November 2016 1Last edit: March 29, 2021 Contents 1 Propositional Classical Logic 5 1.1 Formulas and truth semantics . 5 1.2 Atomic negation . 8 2 Sequent Calculus 10 2.1 Two-sided formulation . 10 2.2 One-sided formulation . 13 3 First-order Quantification 16 3.1 Formulas and truth semantics . 16 3.2 Sequent calculus . 19 3.3 Ultrafilters . 21 4 Completeness 24 4.1 Exhaustive search . 25 4.2 The completeness proof . 30 5 Undecidability and Incompleteness 33 5.1 Informal computability . 33 5.2 Incompleteness: a road map . 35 5.3 Logical theories . 38 5.4 Arithmetical theories . 40 5.5 The incompleteness theorems . 44 6 Cut Elimination 47 7 Intuitionistic Logic 53 7.1 Sequent calculus . 55 7.2 The relationship between intuitionistic and classical logic . 60 7.3 Minimal logic . 65 8 Natural Deduction 67 8.1 Sequent presentation . 68 8.2 Natural deduction and sequent calculus . 70 8.3 Proof tree presentation . 73 8.3.1 Minimal natural deduction . 73 8.3.2 Intuitionistic natural deduction . 75 1 8.3.3 Classical natural deduction . 75 8.4 Normalization (cut-elimination in natural deduction) . 76 9 The Curry-Howard Correspondence 80 9.1 The simply typed l-calculus . 80 9.2 Product and sum types . 81 10 System F 83 10.1 Intuitionistic second-order propositional logic . 83 10.2 Polymorphic types . 84 10.3 Programming in system F ...................... 85 10.3.1 Free structures . -
Bounded-Analytic Sequent Calculi and Embeddings for Hypersequent Logics?
Bounded-analytic sequent calculi and embeddings for hypersequent logics? Agata Ciabattoni1, Timo Lang1, and Revantha Ramanayake2;3 1 Institute of Logic and Computation, Technische Universit¨atWien, A-1040 Vienna, Austria. fagata,[email protected] 2 Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 4, NL-9747 AG Groningen, Netherlands. [email protected] 3 CogniGron (Groningen Cognitive Systems and Materials Center), University of Groningen, Nijenborgh 4, NL-9747 AG Groningen, Netherlands. Abstract. A sequent calculus with the subformula property has long been recognised as a highly favourable starting point for the proof the- oretic investigation of a logic. However, most logics of interest cannot be presented using a sequent calculus with the subformula property. In response, many formalisms more intricate than the sequent calculus have been formulated. In this work we identify an alternative: retain the se- quent calculus but generalise the subformula property to permit specific axiom substitutions and their subformulas. Our investigation leads to a classification of generalised subformula properties and is applied to infinitely many substructural, intermediate and modal logics (specifi- cally: those with a cut-free hypersequent calculus). We also develop a complementary perspective on the generalised subformula properties in terms of logical embeddings. This yields new complexity upper bounds for contractive-mingle substructural logics and situates isolated results on the so-called simple substitution property within a general theory. 1 Introduction What concepts are essential to the proof of a given statement? This is a funda- mental and long-debated question in logic since the time of Leibniz, Kant and Frege, when a broad notion of analytic proof was formulated to mean truth by conceptual containments, or purity of method in mathematical arguments. -
An Overview of Structural Proof Theory and Computing
An overview of Structural Proof Theory and Computing Dale Miller INRIA-Saclay & LIX, Ecole´ Polytechnique Palaiseau, France Madison, Wisconsin, 2 April 2012 Part of the Special Session in Structural Proof Theory and Computing 2012 ASL annual meeting Outline Setting the stage Overview of sequent calculus Focused proof systems This special session Alexis Saurin, University of Paris 7 Proof search and the logic of interaction David Baelde, ITU Copenhagen A proof theoretical journey from programming to model checking and theorem proving Stefan Hetzl, Vienna University of Technology Which proofs can be computed by cut-elimination? Marco Gaboardi, University of Pennsylvania Light Logics for Polynomial Time Computations Some themes within proof theory • Ordinal analysis of consistency proofs (Gentzen, Sch¨utte, Pohlers, etc) • Reverse mathematics (Friedman, Simpson, etc) • Proof complexity (Cook, Buss, Kraj´ıˇcek,Pudl´ak,etc) • Structural Proof Theory (Gentzen, Girard, Prawitz, etc) • Focus on the combinatorial and structural properties of proof. • Proofs and their constituent are elements of computation Proof normalization. Programs are proofs and computation is proof normalization (λ-conversion, cut-elimination). A foundations for functional programming. Curry-Howard Isomorphism. Proof search. Programs are theories and computation is the search for sequent proofs. A foundations for logic programming, model checking, and theorem proving. Many roles of logic in computation Computation-as-model: Computations happens, i.e., states change, communications occur, etc. Logic is used to make statements about computation. E.g., Hoare triples, modal logics. Computation-as-deduction: Elements of logic are used to model elements of computation directly. Many roles of logic in computation Computation-as-model: Computations happens, i.e., states change, communications occur, etc. -
The Method of Proof Analysis: Background, Developments, New Directions
The Method of Proof Analysis: Background, Developments, New Directions Sara Negri University of Helsinki JAIST Spring School 2012 Kanazawa, March 5–9, 2012 Motivations and background Overview Hilbert-style systems Gentzen systems Axioms-as-rules Developments Proof-theoretic semantics for non-classical logics Basic modal logic Intuitionistic and intermediate logics Intermediate logics and modal embeddings Gödel-Löb provability logic Displayable logics First-order modal logic Transitive closure Completeness, correspondence, decidability New directions Social and epistemic logics Knowability logic References What is proof theory? “The main concern of proof theory is to study and analyze structures of proofs. A typical question in it is ‘what kind of proofs will a given formula A have, if it is provable?’, or ‘is there any standard proof of A?’. In proof theory, we want to derive some logical properties from the analysis of structures of proofs, by anticipating that these properties must be reflected in the structures of proofs. In most cases, the analysis will be based on combinatorial and constructive arguments. In this way, we can get sometimes much more information on the logical properties than with semantical methods, which will use set-theoretic notions like models,interpretations and validity.” (H. Ono, Proof-theoretic methods in nonclassical logic–an introduction, 1998) Challenges in modal and non-classical logics Difficulties in establishing analyticity and normalization/cut-elimination even for basic modal systems. Extension of proof-theoretic semantics to non-classical logic. Generality of model theory vs. goal directed developments in proof theory for non-classical logics. Proliferation of calculi “beyond Gentzen systems”. Defeatist attitudes: “No proof procedure suffices for every normal modal logic determined by a class of frames.” (M. -
Hybrid Logic As Extension of Modal and Temporal Logics
Revista de Humanidades de Valparaíso Humanities Journal of Valparaiso Año 7, 2019, 1er semestre, No 13, págs. 34-67 No 13 (2019): 34-67 eISSN 0719-4242 Hybrid Logic as Extension of Modal and Temporal Logics La lógica híbrida como extensión de las lógicas modal y temporal Daniel Álvarez-Domínguez Universidad de Salamanca, España [email protected] DOI: https://doi.org/10.22370/rhv2019iss13pp34-67 Recibido: 16/07/2019. Aceptado: 14/08/2019 Abstract Developed by Arthur Prior, Temporal Logic allows to represent temporal information on a logical system using modal (temporal) operators such as P, F, H or G, whose intuitive meaning is “it was sometime in the Past...”, “it will be sometime in the Future...”, “it Has always been in the past...” and “it will always Going to be in the future...” respectively. Val- uation of formulae built from these operators are carried out on Kripke semantics, so Modal Logic and Temporal Logic are consequently related. In fact, Temporal Logic is an extension of Modal one. Even when both logics mechanisms are able to formalize modal-temporal information with some accuracy, they suffer from a lack of expressiveness which Hybrid Logic can solve. Indeed, one of the problems of Modal Logic consists in its incapacity of naming specific points inside a model. As Temporal Logic is based on it, it cannot make such a thing neither. But First-Order Logic does can by means of constants and equality relation. Hybrid Logic, which results from combining Modal Logic and First-Order Logic, may solve this shortcoming. The main aim of this paper is to explain how Hybrid Logic emanates from Modal and Temporal ones in order to show what it adds to both logics with regard to information representation, why it is more expressive than them and what relation it maintains with the First-Order Correspondence Language. -
Negri, S and Von Plato, J Structural Proof Theory
Sequent Calculus for Intuitionistic Logic We present a system of sequent calculus for intuitionistic propositional logic. In later chapters we obtain stronger systems by adding rules to this basic system, and we therefore go through its proof-theoretical properties in detail, in particular the admissibility of structural rules and the basic consequences of cut elimination. Many of these properties can then be verified in a routine fashion for extensions of the system. We begin with a discussion of the significance of constructive reasoning. 2.1. CONSTRUCTIVE REASONING Intuitionistic logic, and intuitionism more generally, used to be philosophically motivated, but today the grounds for using intuitionistic logic can be completely neutral philosophically. Intuitionistic or constructive reasoning, which are the same thing, systematically supports computability: If the initial data in a problem or theorem are computable and if one reasons constructively, logic will never make one committed to an infinite computation. Classical logic, instead, does not make the distinction between the computable and the noncomputable. We illustrate these phenomena by an example: A mathematical colleague comes with an algorithm for generating a decimal expansion O.aia2a3..., and also gives a proof that if none of the decimals at is greater than zero, a contradiction follows. Then you are asked to find the first decimal ak such that ak > 0. But you are out of luck in this task, for several hours and days of computation bring forth only 0's Given two real numbers a and b, if it happens to be true that they are equal, a and b would have to be computed to infinite precision to verify a = b. -
Towards a Structural Proof Theory of Probabilistic $$\Mu $$-Calculi
Towards a Structural Proof Theory of Probabilistic µ-Calculi B B Christophe Lucas1( ) and Matteo Mio2( ) 1 ENS–Lyon, Lyon, France [email protected] 2 CNRS and ENS–Lyon, Lyon, France [email protected] Abstract. We present a structural proof system, based on the machin- ery of hypersequent calculi, for a simple probabilistic modal logic under- lying very expressive probabilistic µ-calculi. We prove the soundness and completeness of the proof system with respect to an equational axioma- tisation and the fundamental cut-elimination theorem. 1 Introduction Modal and temporal logics are formalisms designed to express properties of mathematical structures representing the behaviour of computing systems, such as, e.g., Kripke frames, trees and labeled transition systems. A fundamental problem regarding such logics is the equivalence problem: given two formulas φ and ψ, establish whether φ and ψ are semantically equivalent. For many tem- poral logics, including the basic modal logic K (see, e.g., [BdRV02]) and its many extensions such as the modal μ-calculus [Koz83], the equivalence problem is decidable and can be answered automatically. This is, of course, a very desir- able fact. However, a fully automatic approach is not always viable due to the high complexity of the algorithms involved. An alternative and complementary approach is to use human-aided proof systems for constructing formal proofs of the desired equalities. As a concrete example, the well-known equational axioms of Boolean algebras together with two axioms for the ♦ modality: ♦⊥ = ⊥ ♦(x ∨ y)=♦(x) ∨ ♦(y) can be used to construct formal proofs of all valid equalities between formu- las of modal logic using the familiar deductive rules of equational logic (see Definition 3). -
Ecumenical Modal Logic EK
Ecumenical modal logic Sonia Marin1, Luiz Carlos Pereira2, Elaine Pimentel3, and Emerson Sales4 1Department of Computer Science, University College London, UK 2Philosophy Department, PUC-Rio, Brazil 3Department of Mathematics, UFRN, Brazil 4Graduate Program of Applied Mathematics and Statistics, UFRN, Brazil June 1, 2020 Abstract The discussion about how to put together Gentzen’s systems for classical and intuitionistic logic in a single unified system is back in fashion. Indeed, recently Prawitz and others have been discussing the so called Ecumenical Systems, where connectives from these logics can co-exist in peace. In Prawitz’ system, the clas- sical logician and the intuitionistic logician would share the universal quantifier, conjunction, negation, and the constant for the absurd, but they would each have their own existential quantifier, disjunction, and implication, with different mean- ings. Prawitz’ main idea is that these different meanings are given by a semantical framework that can be accepted by both parties. In a recent work, Ecumenical se- quent calculi and a nested system were presented, and some very interesting proof theoretical properties of the systems were established. In this work we extend Prawitz’ Ecumenical idea to alethic K-modalities. arXiv:2005.14325v1 [cs.LO] 28 May 2020 1 Introduction In [21] Dag Prawitz proposed a natural deduction system for what was later called Ecumenical logic (EL), where classical and intuitionistic logic could coexist in peace. In this system, the classical logician and the intuitionistic logician would share the universal quantifier, conjunction, negation, and the constant for the absurd (the neutral connectives), but they would each have their own existential quantifier, disjunction, and implication, with different meanings. -
Tense Or Temporal Logic Gives a Glimpse of a Number of Related F-Urther Topics
TI1is introduction provi'des some motivational and historical background. Basic fonnal issues of propositional tense logic are treated in Section 2. Section 3 12 Tense or Temporal Logic gives a glimpse of a number of related f-urther topics. 1.1 Motivation and Terminology Thomas Miiller Arthur Prior, who initiated the fonnal study of the logic of lime in the 1950s, called lus logic tense logic to reflect his underlying motivation: to advance the philosophy of time by establishing formal systems that treat the tenses of nat \lrallanguages like English as sentence-modifying operators. While many other Chapter Overview formal approaches to temporal issues have been proposed h1 the meantime, Pri orean tense logic is still the natural starting point. Prior introduced four tense operatm·s that are traditionally v.rritten as follows: 1. Introduction 324 1.1 Motiv<Jtion and Terminology 325 1.2 Tense Logic and the History of Formal Modal Logic 326 P it ·was the case that (Past) 2. Basic Formal Tense Logic 327 H it has always been the case that 2.1 Priorean (Past, Future) Tense Logic 328 F it will be the case that (Future) G it is always going to be the case that 2.1.1 The Minimal Tense Logic K1 330 2.1 .2 Frame Conditions 332 2.1.3 The Semantics of the Future Operator 337 Tims, a sentence in the past tense like 'Jolm was happy' is analysed as a temporal 2.1.4 The lndexicai'Now' 342 modification of the sentence 'John is happy' via the operator 'it was the case thai:', 2.1.5 Metric Operators and At1 343 and can be formally expressed as 'P HappyO'olm)'. -
Querying Description Logic Knowledge Bases
QUERYING DESCRIPTION LOGIC KNOWLEDGE BASES A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences 2007 By Birte Glimm School of Computer Science Contents Abstract 7 Declaration 8 Copyright 9 Acknowledgements 10 1 Introduction 11 1.1 Description Logics .......................... 12 1.1.1 Description Logic Knowledge Bases ............. 13 1.1.2 Historical Background of Description Logics ........ 14 1.1.3 Application Areas of Description Logics ........... 15 1.1.4 Semantics of Description Logics ............... 17 1.2 Reasoning Services .......................... 17 1.2.1 Standard Reasoning Services ................. 18 1.2.2 Conjunctive Queries ..................... 18 1.2.3 Challenges of Query Answering ............... 23 1.3 Aims and Objectives ......................... 27 1.4 A Guide for Readers ......................... 27 2 Foundations of Description Logics 29 2.1 Syntax and Semantics ........................ 29 2.2 Standard Reasoning Tasks ...................... 33 2.3 Conjunctive Queries ......................... 36 2.3.1 Query Answering ....................... 40 2.3.2 Conjunctive Queries in Databases .............. 41 2.3.3 Why Conjunctive Queries .................. 41 2 2.4 Combined and Data Complexity ................... 42 3 Related Work and Alternative Approaches 44 3.1 Conjunctive Queries for Expressive Description Logics ....... 44 3.2 Conjunctive Queries for Tractable Description Logics ....... 45 3.3 Modal Correspondence Theory .................... 46 3.4 Query Containment .......................... 47 3.4.1 The Difficulty of Regular Expressions ............ 49 3.5 Rule Formalisms ........................... 50 3.5.1 The Carin System ....................... 52 3.5.2 Extensions of the Carin System ............... 57 3.6 Hybrid Logics ............................. 60 3.6.1 Hybrid Logic Binders for Query Answering ......... 60 3.7 First-Order Logic .......................... -
A Hybrid Intuitionistic Logic: Semantics and Decidability
A Hybrid Intuitionistic Logic: Semantics and Decidability Rohit Chadha1 Damiano Macedonio2 Vladimiro Sassone2 1 Center for Logic and Computation, IST Lisboa 2 University of Sussex Abstract An intuitionistic, hybrid modal logic suitable for reasoning about distribution of resources was introduced in [17, 18]. The modalities of the logic allow validation of properties in a particular place, in some place and in all places. We give a sound and complete Kripke semantics for the logic extended with disjunctive connectives. The extended logic can be seen as an instance of Hybrid IS5. We also give a sound and complete birelational semantics, and show that it enjoys the finite model property: if a judgement is not valid in the logic, then there is a finite birelational counter-model. Hence, we prove that the logic is decidable. Keywords: spatial distribution of resources, spatial modalities, Kripke and birelational semantics, soundness and completeness, finite-model property. 1 Introduction In current computing, paradigm distributed resources spread over and shared amongst different nodes of a computer system are very common. For example, printers may be shared in local area networks, or distributed data may store documents in parts at different locations. The traditional rea- soning methodologies are not easily scalable to these systems as they may lack implicitly trust-able objects such as a central control. This has resulted in the innovation of several reasoning techniques. A popular approach in the literature has been the use of algebraic systems such as process algebra [10, 21, 16]. These algebras have rich theories in terms of semantics [21], logics [9, 8, 15, 23], and types [16].