On Natural Deduction for Herbrand Constructive Logics I: Curry-Howard Correspondence for Dummett’S Logic Lc
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Proof Theory Can Be Viewed As the General Study of Formal Deductive Systems
Proof Theory Jeremy Avigad December 19, 2017 Abstract Proof theory began in the 1920’s as a part of Hilbert’s program, which aimed to secure the foundations of mathematics by modeling infinitary mathematics with formal axiomatic systems and proving those systems consistent using restricted, finitary means. The program thus viewed mathematics as a system of reasoning with precise linguistic norms, governed by rules that can be described and studied in concrete terms. Today such a viewpoint has applications in mathematics, computer science, and the philosophy of mathematics. Keywords: proof theory, Hilbert’s program, foundations of mathematics 1 Introduction At the turn of the nineteenth century, mathematics exhibited a style of argumentation that was more explicitly computational than is common today. Over the course of the century, the introduction of abstract algebraic methods helped unify developments in analysis, number theory, geometry, and the theory of equations, and work by mathematicians like Richard Dedekind, Georg Cantor, and David Hilbert towards the end of the century introduced set-theoretic language and infinitary methods that served to downplay or suppress computational content. This shift in emphasis away from calculation gave rise to concerns as to whether such methods were meaningful and appropriate in mathematics. The discovery of paradoxes stemming from overly naive use of set-theoretic language and methods led to even more pressing concerns as to whether the modern methods were even consistent. This led to heated debates in the early twentieth century and what is sometimes called the “crisis of foundations.” In lectures presented in 1922, Hilbert launched his Beweistheorie, or Proof Theory, which aimed to justify the use of modern methods and settle the problem of foundations once and for all. -
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. -
Systematic Construction of Natural Deduction Systems for Many-Valued Logics
23rd International Symposium on Multiple Valued Logic. Sacramento, CA, May 1993 Proceedings. (IEEE Press, Los Alamitos, 1993) pp. 208{213 Systematic Construction of Natural Deduction Systems for Many-valued Logics Matthias Baaz∗ Christian G. Ferm¨ullery Richard Zachy Technische Universit¨atWien, Austria Abstract sion.) Each position i corresponds to one of the truth values, vm is the distinguished truth value. The in- A construction principle for natural deduction sys- tended meaning is as follows: Derive that at least tems for arbitrary finitely-many-valued first order log- one formula of Γm takes the value vm under the as- ics is exhibited. These systems are systematically ob- sumption that no formula in Γi takes the value vi tained from sequent calculi, which in turn can be au- (1 i m 1). ≤ ≤ − tomatically extracted from the truth tables of the log- Our starting point for the construction of natural ics under consideration. Soundness and cut-free com- deduction systems are sequent calculi. (A sequent is pleteness of these sequent calculi translate into sound- a tuple Γ1 ::: Γm, defined to be satisfied by an ness, completeness and normal form theorems for the interpretationj iffj for some i 1; : : : ; m at least one 2 f g natural deduction systems. formula in Γi takes the truth value vi.) For each pair of an operator 2 or quantifier Q and a truth value vi 1 Introduction we construct a rule introducing a formula of the form 2(A ;:::;A ) or (Qx)A(x), respectively, at position i The study of natural deduction systems for many- 1 n of a sequent. -
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). -
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. -
Complexities of Proof-Theoretical Reductions
Complexities of Proof-Theoretical Reductions Michael Toppel Submitted in accordance with the requirements for the degree of Doctor of Philosophy The University of Leeds Department of Pure Mathematics September 2016 iii The candidate confirms that the work submitted is his own and that appropriate credit has been given where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement. c 2016 The University of Leeds and Michael Toppel iv v Abstract The present thesis is a contribution to a project that is carried out by Michael Rathjen 0 and Andreas Weiermann to give a general method to study the proof-complexity of Σ1- sentences. This general method uses the generalised ordinal-analysis that was given by Buchholz, Ruede¨ and Strahm in [5] and [44] as well as the generalised characterisation of provable-recursive functions of PA + TI(≺ α) that was given by Weiermann in [60]. The present thesis links these two methods by giving an explicit elementary bound for the i proof-complexity increment that occurs after the transition from the theory IDc ! + TI(≺ α), which was used by Ruede¨ and Strahm, to the theory PA + TI(≺ α), which was analysed by Weiermann. vi vii Contents Abstract . v Contents . vii Introduction 1 1 Justifying the use of Multi-Conclusion Sequents 5 1.1 Introduction . 5 1.2 A Gentzen-semantics . 8 1.3 Multi-Conclusion Sequents . 15 1.4 Comparison with other Positions and Responses to Objections . -
An Integration of Resolution and Natural Deduction Theorem Proving
From: AAAI-86 Proceedings. Copyright ©1986, AAAI (www.aaai.org). All rights reserved. An Integration of Resolution and Natural Deduction Theorem Proving Dale Miller and Amy Felty Computer and Information Science University of Pennsylvania Philadelphia, PA 19104 Abstract: We present a high-level approach to the integra- ble of translating between them. In order to achieve this goal, tion of such different theorem proving technologies as resolution we have designed a programming language which permits proof and natural deduction. This system represents natural deduc- structures as values and types. This approach builds on and ex- tion proofs as X-terms and resolution refutations as the types of tends the LCF approach to natural deduction theorem provers such X-terms. These type structures, called ezpansion trees, are by replacing the LCF notion of a uakfation with explicit term essentially formulas in which substitution terms are attached to representation of proofs. The terms which represent proofs are quantifiers. As such, this approach to proofs and their types ex- given types which generalize the formulas-as-type notion found tends the formulas-as-type notion found in proof theory. The in proof theory [Howard, 19691. Resolution refutations are seen LCF notion of tactics and tacticals can also be extended to in- aa specifying the type of a natural deduction proofs. This high corporate proofs as typed X-terms. Such extended tacticals can level view of proofs as typed terms can be easily combined with be used to program different interactive and automatic natural more standard aspects of LCF to yield the integration for which Explicit representation of proofs deduction theorem provers. -
Natural Deduction and the Curry-Howard-Isomorphism
Natural Deduction and the Curry-Howard-Isomorphism Andreas Abel August 2016 Abstract We review constructive propositional logic and natural deduction and connect it to the simply-typed lambda-calculus with the Curry- Howard Isomorphism. Constructive Logic A fundamental property of constructive logic is the disjunction property: If the disjunction A _ B is provable, then either A is provable or B is provable. This property is not compatible with the principle of the excluded middle (tertium non datur), which states that A _:A holds for any proposition A. While each fool can state the classical tautology \aliens exist or don't", this certainly does not give us a means to decide whether aliens exist or not. A constructive proof of the fool's statement would require either showcasing an alien or a stringent argument for the impossibility of their existence.1 1 Natural deduction for propositional logic The proof calculus of natural deduction goes back to Gentzen[1935]. 1 For a more mathematical example of undecidability, refer to the continuum hypothesis CH which states that no cardinal exists between the set of the natural numbers and the set of reals. It is independent of ZFC, Zermelo-Fr¨ankel set theory with the axiom of choice, meaning that in ZFC, neither CH nor :CH is provable. 1 1.1 Propositions Formulæ of propositional logic are given by the following grammar: P; Q atomic proposition A; B; C ::= P j A ) B implication j A ^ B j > conjunction, truth j A _ B j ? disjunction, absurdity Even though we write formulas in linearized (string) form, we think of them as (abstract syntax) trees. -
On Synthetic Undecidability in Coq, with an Application to the Entscheidungsproblem
On Synthetic Undecidability in Coq, with an Application to the Entscheidungsproblem Yannick Forster Dominik Kirst Gert Smolka Saarland University Saarland University Saarland University Saarbrücken, Germany Saarbrücken, Germany Saarbrücken, Germany [email protected] [email protected] [email protected] Abstract like decidability, enumerability, and reductions are avail- We formalise the computational undecidability of validity, able without reference to a concrete model of computation satisfiability, and provability of first-order formulas follow- such as Turing machines, general recursive functions, or ing a synthetic approach based on the computation native the λ-calculus. For instance, representing a given decision to Coq’s constructive type theory. Concretely, we consider problem by a predicate p on a type X, a function f : X ! B Tarski and Kripke semantics as well as classical and intu- with 8x: p x $ f x = tt is a decision procedure, a function itionistic natural deduction systems and provide compact д : N ! X with 8x: p x $ ¹9n: д n = xº is an enumer- many-one reductions from the Post correspondence prob- ation, and a function h : X ! Y with 8x: p x $ q ¹h xº lem (PCP). Moreover, developing a basic framework for syn- for a predicate q on a type Y is a many-one reduction from thetic computability theory in Coq, we formalise standard p to q. Working formally with concrete models instead is results concerning decidability, enumerability, and reducibil- cumbersome, given that every defined procedure needs to ity without reference to a concrete model of computation. be shown representable by a concrete entity of the model. -
Generating Hints and Feedback for Hilbert-Style Axiomatic Proofs
Generating hints and feedback for Hilbert-style axiomatic proofs Josje Lodder Bastiaan Heeren Johan Jeuring Technical Report UU-CS-2016-009 December 2016 Department of Information and Computing Sciences Utrecht University, Utrecht, The Netherlands www.cs.uu.nl ISSN: 0924-3275 Department of Information and Computing Sciences Utrecht University P.O. Box 80.089 3508 TB Utrecht The Netherlands Generating hints and feedback for Hilbert-style axiomatic proofs Josje Lodder Bastiaan Heeren Johan Jeuring Open University of the Open University of the Open University of the Netherlands Netherlands Netherlands and Utrecht [email protected] [email protected] University [email protected] ABSTRACT From these students, 22 had to redo their homework exer- This paper describes an algorithm to generate Hilbert-style cise on axiomatic proofs. This is significantly higher than, axiomatic proofs. Based on this algorithm we develop lo- for example, the number of students in the same group who gax, a new interactive tutoring tool that provides hints and had to redo the exercise on semantic tableaux: 5 out of 65. feedback to a student who stepwise constructs an axiomatic A student practices axiomatic proofs by solving exercises. proof. We compare the generated proofs with expert and Since it is not always possible to have a human tutor avail- student solutions, and conclude that the quality of the gen- able, an intelligent tutoring system (ITS) might be of help. erated proofs is comparable to that of expert proofs. logax There are several ITSs supporting exercises on natural de- recognizes most steps that students take when constructing duction systems [23, 22, 6]. -
Types of Proof System
Types of proof system Peter Smith October 13, 2010 1 Axioms, rules, and what logic is all about 1.1 Two kinds of proof system There are at least two styles of proof system for propositional logic other than trees that beginners ought to know about. The real interest here, of course, is not in learning yet more about classical proposi- tional logic per se. For how much fun is that? Rather, what we are doing { as always { is illustrating some Big Ideas using propositional logic as a baby example. The two new styles are: 1. Axiomatic systems The first system of formal logic in anything like the contempo- rary sense { Frege's system in his Begriffsschrift of 1879 { is an axiomatic one. What is meant by `axiomatic' in this context? Think of Euclid's geometry for example. In such an axiomatic theory, we are given a \starter pack" of basic as- sumptions or axioms (we are often given a package of supplementary definitions as well, enabling us to introduce new ideas as abbreviations for constructs out of old ideas). And then the theorems of the theory are those claims that can deduced by allowed moves from the axioms, perhaps invoking definitions where appropriate. In Euclid's case, the axioms and definitions are of course geometrical, and he just helps himself to whatever logical inferences he needs to execute the deductions. But, if we are going to go on to axiomatize logic itself, we are going to need to be explicit not just about the basic logical axioms we take as given starting points for deductions, but also about the rules of inference that we are permitted to use.