Bounded-Analytic Sequent Calculi and Embeddings for Hypersequent Logics?
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Hypersequent and Labelled Calculi for Intermediate Logics*
Hypersequent and Labelled Calculi for Intermediate Logics⋆ Agata Ciabattoni1, Paolo Maffezioli2, and Lara Spendier1 1 Vienna University of Technology 2 University of Groningen Abstract. Hypersequent and labelled calculi are often viewed as an- tagonist formalisms to define cut-free calculi for non-classical logics. We focus on the class of intermediate logics to investigate the methods of turning Hilbert axioms into hypersequent rules and frame conditions into labelled rules. We show that these methods are closely related and we extend them to capture larger classes of intermediate logics. 1 Introduction The lack of cut-free sequent calculi for logics having natural semantic character- izations and/or simple axiomatizations has prompted the search for generaliza- tions of the Gentzen sequent framework. Despite the large variety of formalisms introduced in the literature (see e.g., [17]), there are two main approaches. In the syntactic approach sequents are generalized by allowing extra structural con- nectives in addition to sequents’ comma; in the semantic approach the semantic language is explicit part of the syntax in sequents and rules. Hypersequent calculus [2] is a prominent example of the syntactic approach, while labelled calculi internalizing Kripke semantics [15, 8, 16, 10] are the most developed systems within the semantic approach. Hypersequent and labelled calculus are general-purpose formalisms powerful enough to capture logics of a different nature ranging from modal to substructural logics [8, 16, 10, 3], and are often viewed as antagonist formalisms to define cut-free calculi. In this paper we focus on propositional intermediate logics, i.e. logics between intuitionistic and classical logic, in order to analyze and compare the methods in [7, 5] for defining cut-free hypersequent and labelled calculi. -
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 . -
From Axioms to Rules — a Coalition of Fuzzy, Linear and Substructural Logics
From Axioms to Rules — A Coalition of Fuzzy, Linear and Substructural Logics Kazushige Terui National Institute of Informatics, Tokyo Laboratoire d’Informatique de Paris Nord (Joint work with Agata Ciabattoni and Nikolaos Galatos) Genova, 21/02/08 – p.1/?? Parties in Nonclassical Logics Modal Logics Default Logic Intermediate Logics (Padova) Basic Logic Paraconsistent Logic Linear Logic Fuzzy Logics Substructural Logics Genova, 21/02/08 – p.2/?? Parties in Nonclassical Logics Modal Logics Default Logic Intermediate Logics (Padova) Basic Logic Paraconsistent Logic Linear Logic Fuzzy Logics Substructural Logics Our aim: Fruitful coalition of the 3 parties Genova, 21/02/08 – p.2/?? Basic Requirements Substractural Logics: Algebraization ´µ Ä Î ´Äµ Genova, 21/02/08 – p.3/?? Basic Requirements Substractural Logics: Algebraization ´µ Ä Î ´Äµ Fuzzy Logics: Standard Completeness ´µ Ä Ã ´Äµ ¼½ Genova, 21/02/08 – p.3/?? Basic Requirements Substractural Logics: Algebraization ´µ Ä Î ´Äµ Fuzzy Logics: Standard Completeness ´µ Ä Ã ´Äµ ¼½ Linear Logic: Cut Elimination Genova, 21/02/08 – p.3/?? Basic Requirements Substractural Logics: Algebraization ´µ Ä Î ´Äµ Fuzzy Logics: Standard Completeness ´µ Ä Ã ´Äµ ¼½ Linear Logic: Cut Elimination A logic without cut elimination is like a car without engine (J.-Y. Girard) Genova, 21/02/08 – p.3/?? Outcome We classify axioms in Substructural and Fuzzy Logics according to the Substructural Hierarchy, which is defined based on Polarity (Linear Logic). Genova, 21/02/08 – p.4/?? Outcome We classify axioms in Substructural and Fuzzy Logics according to the Substructural Hierarchy, which is defined based on Polarity (Linear Logic). Give an automatic procedure to transform axioms up to level ¼ È È ¿ ( , in the absense of Weakening) into Hyperstructural ¿ Rules in Hypersequent Calculus (Fuzzy Logics). -
Bunched Hypersequent Calculi for Distributive Substructural Logics
EPiC Series in Computing Volume 46, 2017, Pages 417{434 LPAR-21. 21st International Conference on Logic for Programming, Artificial Intelligence and Reasoning Bunched Hypersequent Calculi for Distributive Substructural Logics Agata Ciabattoni and Revantha Ramanayake Technische Universit¨atWien, Austria fagata,[email protected]∗ Abstract We introduce a new proof-theoretic framework which enhances the expressive power of bunched sequents by extending them with a hypersequent structure. A general cut- elimination theorem that applies to bunched hypersequent calculi satisfying general rule conditions is then proved. We adapt the methods of transforming axioms into rules to provide cutfree bunched hypersequent calculi for a large class of logics extending the dis- tributive commutative Full Lambek calculus DFLe and Bunched Implication logic BI. The methodology is then used to formulate new logics equipped with a cutfree calculus in the vicinity of Boolean BI. 1 Introduction The wide applicability of logical methods and their use in new subject areas has resulted in an explosion of new logics. The usefulness of these logics often depends on the availability of an analytic proof calculus (formal proof system), as this provides a natural starting point for investi- gating metalogical properties such as decidability, complexity, interpolation and conservativity, for developing automated deduction procedures, and for establishing semantic properties like standard completeness [26]. A calculus is analytic when every derivation (formal proof) in the calculus has the property that every formula occurring in the derivation is a subformula of the formula that is ultimately proved (i.e. the subformula property). The use of an analytic proof calculus tremendously restricts the set of possible derivations of a given statement to deriva- tions with a discernible structure (in certain cases this set may even be finite). -
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. -
On Analyticity in Deep Inference
On Analyticity in Deep Inference Paola Bruscoli and Alessio Guglielmi∗ University of Bath Abstract In this note, we discuss the notion of analyticity in deep inference and propose a formal definition for it. The idea is to obtain a notion that would guarantee the same properties that analyticity in Gentzen theory guarantees, in particular, some reasonable starting point for algorithmic proof search. Given that deep inference generalises Gentzen proof theory, the notion of analyticity discussed here could be useful in general, and we offer some reasons why this might be the case. This note is dedicated to Dale Miller on the occasion of his 60th birthday. Dale has been for both of us a friend and one of our main sources of scientific inspiration. Happy birthday Dale! 1 Introduction It seems that the notion of analyticity in proof theory has been defined by Smullyan, firstly for natural-deduction systems in [Smu65], then for tableaux systems in [Smu66]. Afterwards, analyticity appeared as a core concept in his influential textbook [Smu68b]. There is no widely accepted and general definition of analytic proof system; however, the commonest view today is that such a system is a collection of inference rules that all possess some form of the subfor- mula property, as Smullyan argued. Since analyticity in the sequent calculus is conceptually equivalent to analyticity in the other Gentzen formalisms, in this note we focus on the sequent calculus as a representative of all formalisms of traditional proof theory [Gen69]. Normally, the only rule in a sequent system that does not possess the subformula property is the cut rule. -
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. -
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). -
Proof Theory for Modal Logic
Proof theory for modal logic Sara Negri Department of Philosophy 00014 University of Helsinki, Finland e-mail: sara.negri@helsinki.fi Abstract The axiomatic presentation of modal systems and the standard formula- tions of natural deduction and sequent calculus for modal logic are reviewed, together with the difficulties that emerge with these approaches. Generaliza- tions of standard proof systems are then presented. These include, among others, display calculi, hypersequents, and labelled systems, with the latter surveyed from a closer perspective. 1 Introduction In the literature on modal logic, an overall skepticism on the possibility of developing a satisfactory proof theory was widespread until recently. This attitude was often accompanied by a belief in the superiority of model-theoretic methods over proof- theoretic ones. Standard proof systems have been shown insufficient for modal logic: Natural deduction presentations of even the most basic modal logics present difficulties that have been resolved only partially, and the same has happened with sequent calculus. These traditional proof system have failed to meet in a satisfactory way such basic requirements as analyticity and normalizability of formal derivations. Therefore alternative proof systems have been developed in recent years, with a lot of emphasis on their relative merits and on applications. We review first the axiomatic presentations of modal systems and the standard formulations of natural deduction and sequent calculus for modal logic, and the difficulties that emerge with -
On the Importance of Being Analytic. the Paradigmatic Case of the Logic of Proofs Francesca Poggiolesi
On the importance of being analytic. The paradigmatic case of the logic of proofs Francesca Poggiolesi To cite this version: Francesca Poggiolesi. On the importance of being analytic. The paradigmatic case of the logic of proofs. Logique et Analyse, Louvain: Centre national belge de recherche de logique. 2012, 55 (219), pp.443-461. halshs-00775807 HAL Id: halshs-00775807 https://halshs.archives-ouvertes.fr/halshs-00775807 Submitted on 19 Apr 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. F. POGGIOLESI On the Importance of Being Analytic The paradigmatic case of the logic of proofs Abstract In the recent literature on proof theory, there seems to be a new raising topic which consists in identifying those properties that characterise a good sequent calculus. The property that has received by far the most attention is the analyticity property. In this paper we propose a new argument in support of the analyticity property. We will do it by means of the example of the logic of proofs, a logic recently introduced by Artemov [1]. Indeed a detailed proof analysis of this logic sheds new light on the logic itself and perfectly exemplify our argument in favour of the analiticity.