Systematic Construction of Natural Deduction Systems for Many-Valued Logics
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Nested Sequents, a Natural Generalisation of Hypersequents, Allow Us to Develop a Systematic Proof Theory for Modal Logics
Nested Sequents Habilitationsschrift Kai Br¨unnler Institut f¨ur Informatik und angewandte Mathematik Universit¨at Bern May 28, 2018 arXiv:1004.1845v1 [cs.LO] 11 Apr 2010 Abstract We see how nested sequents, a natural generalisation of hypersequents, allow us to develop a systematic proof theory for modal logics. As opposed to other prominent formalisms, such as the display calculus and labelled sequents, nested sequents stay inside the modal language and allow for proof systems which enjoy the subformula property in the literal sense. In the first part we study a systematic set of nested sequent systems for all normal modal logics formed by some combination of the axioms for seriality, reflexivity, symmetry, transitivity and euclideanness. We establish soundness and completeness and some of their good properties, such as invertibility of all rules, admissibility of the structural rules, termination of proof-search, as well as syntactic cut-elimination. In the second part we study the logic of common knowledge, a modal logic with a fixpoint modality. We look at two infinitary proof systems for this logic: an existing one based on ordinary sequents, for which no syntactic cut-elimination procedure is known, and a new one based on nested sequents. We see how nested sequents, in contrast to ordinary sequents, allow for syntactic cut-elimination and thus allow us to obtain an ordinal upper bound on the length of proofs. iii Contents 1 Introduction 1 2 Systems for Basic Normal Modal Logics 5 2.1 ModalAxiomsasLogicalRules . 6 2.1.1 TheSequentSystems .................... 6 2.1.2 Soundness........................... 12 2.1.3 Completeness........................ -
Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics
Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics Tobias Geibinger Hans Tompits Databases and Artificial Intelligence Group, Knowledge-Based Systems Group, Institute of Logic and Computation, Institute of Logic and Computation, Technische Universit¨at Wien, Technische Universit¨at Wien, Favoritenstraße 9-11, A-1040 Vienna, Austria Favoritenstraße 9-11, A-1040 Vienna, Austria [email protected] [email protected] Paraconsistent logics constitute an important class of formalisms dealing with non-trivial reasoning from inconsistent premisses. In this paper, we introduce uniform axiomatisations for a family of nonmonotonic paraconsistent logics based on minimal inconsistency in terms of sequent-type proof systems. The latter are prominent and widely-used forms of calculi well-suited for analysing proof search. In particular, we provide sequent-type calculi for Priest’s three-valued minimally inconsistent logic of paradox, and for four-valued paraconsistent inference relations due to Arieli and Avron. Our calculi follow the sequent method first introduced in the context of nonmonotonic reasoning by Bonatti and Olivetti, whose distinguishing feature is the use of a so-called rejection calculus for axiomatising invalid formulas. In fact, we present a general method to obtain sequent systems for any many-valued logic based on minimal inconsistency, yielding the calculi for the logics of Priest and of Arieli and Avron as special instances. 1 Introduction Paraconsistent logics reject the principle of explosion, also known as ex falso sequitur quodlibet, which holds in classical logic and allows the derivation of any assertion from a contradiction. The motivation behind paraconsistent logics is simple, as contradictory theories may still contain useful information, hence we would like to be able to draw non-trivial conclusions from said theories. -
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. -
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. -
Linear Logic Programming Dale Miller INRIA/Futurs & Laboratoire D’Informatique (LIX) Ecole´ Polytechnique, Rue De Saclay 91128 PALAISEAU Cedex FRANCE
1 An Overview of Linear Logic Programming Dale Miller INRIA/Futurs & Laboratoire d’Informatique (LIX) Ecole´ polytechnique, Rue de Saclay 91128 PALAISEAU Cedex FRANCE Abstract Logic programming can be given a foundation in sequent calculus by viewing computation as the process of building a cut-free sequent proof bottom-up. The first accounts of logic programming as proof search were given in classical and intuitionistic logic. Given that linear logic allows richer sequents and richer dynamics in the rewriting of sequents during proof search, it was inevitable that linear logic would be used to design new and more expressive logic programming languages. We overview how linear logic has been used to design such new languages and describe briefly some applications and implementation issues for them. 1.1 Introduction It is now commonplace to recognize the important role of logic in the foundations of computer science. When a major new advance is made in our understanding of logic, we can thus expect to see that advance ripple into many areas of computer science. Such rippling has been observed during the years since the introduction of linear logic by Girard in 1987 [Gir87]. Since linear logic embraces computational themes directly in its design, it often allows direct and declarative approaches to compu- tational and resource sensitive specifications. Linear logic also provides new insights into the many computational systems based on classical and intuitionistic logics since it refines and extends these logics. There are two broad approaches by which logic, via the theory of proofs, is used to describe computation [Mil93]. One approach is the proof reduction paradigm, which can be seen as a foundation for func- 1 2 Dale Miller tional programming. -
Permutability of Proofs in Intuitionistic Sequent Calculi
Permutabilityofproofsinintuitionistic sequent calculi Roy Dyckho Scho ol of Mathematical Computational Sciences St Andrews University St Andrews Scotland y Lus Pinto Departamento de Matematica Universidade do Minho Braga Portugal Abstract Weprove a folklore theorem that two derivations in a cutfree se quent calculus for intuitioni sti c prop ositional logic based on Kleenes G are interp ermutable using a set of basic p ermutation reduction rules derived from Kleenes work in i they determine the same natu ral deduction The basic rules form a conuentandweakly normalisin g rewriting system We refer to Schwichtenb ergs pro of elsewhere that a mo dication of this system is strongly normalising Key words intuitionistic logic pro of theory natural deduction sequent calcu lus Intro duction There is a folklore theorem that twointuitionistic sequent calculus derivations are really the same i they are interp ermutable using p ermutations as de scrib ed by Kleene in Our purp ose here is to make precise and provesuch a p ermutability theorem Prawitz showed howintuitionistic sequent calculus derivations determine LJ to NJ here we consider only natural deductions via a mapping from the cutfree derivations and normal natural deductions resp ectively and in eect that this mapping is surjectiveby constructing a rightinverse of from NJ to LJ Zucker showed that in the negative fragment of the calculus c LJ ie LJ including cut two derivations have the same image under i they are interconvertible using a sequence of p ermutativeconversions eg p -
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. -
Gentzen Sequent Calculus GL
Chapter 11 (Part 2) Gentzen Sequent Calculus GL The proof system GL for the classical propo- sitional logic is a version of the original Gentzen (1934) systems LK. A constructive proof of the completeness the- orem for the system GL is very similar to the proof of the completeness theorem for the system RS. Expressions of the system like in the original Gentzen system LK are Gentzen sequents. Hence we use also a name Gentzen sequent calculus. 1 Language of GL: L = Lf[;\;);:;g. We add a new symbol to the alphabet: ¡!. It is called a Gentzen arrow. The sequents are built out of ¯nite sequences (empty included) of formulas, i.e. elements of F¤, and the additional sign ¡!. We denote, as in the RS system, the ¯nite sequences of formulas by Greek capital let- ters ¡; ¢; §, with indices if necessary. Sequent de¯nition: a sequent is the expres- sion ¡ ¡! ¢; where ¡; ¢ 2 F¤. Meaning of sequents Intuitively, we interpret a sequent A1; :::; An ¡! B1; :::; Bm; where n; m ¸ 1 as a formula (A1 \ ::: \ An) ) (B1 [ ::: [ Bm): The sequent: A1; :::; An ¡! (where n ¸ 1) means that A1 \ ::: \ An yields a contra- diction. The sequent ¡! B1; :::; Bm (where m ¸ 1) means j= (B1 [ ::: [ Bm). The empty sequent: ¡! means a contra- diction. 2 Given non empty sequences: ¡, ¢, we de- note by σ¡ any conjunction of all formulas of ¡, and by ±¢ any disjunction of all formulas of ¢. The intuitive semantics (meaning, interpre- tation) of a sequent ¡ ¡! ¢ (where ¡; ¢ are nonempty) is ¡ ¡! ¢ ´ (σ¡ ) ±¢): 3 Formal semantics for sequents (expressions of GL) Let v : V AR ¡! fT;F g be a truth assign- ment, v¤ its (classical semantics) extension to the set of formulas F. -
Towards the Automated Generation of Focused Proof Systems
Towards the Automated Generation of Focused Proof Systems Vivek Nigam Giselle Reis Leonardo Lima Federal University of Para´ıba, Brazil Inria & LIX, France Federal University of Para´ıba, Brazil [email protected] [email protected] [email protected] This paper tackles the problem of formulating and proving the completeness of focused-like proof systems in an automated fashion. Focusing is a discipline on proofs which structures them into phases in order to reduce proof search non-determinism. We demonstrate that it is possible to construct a complete focused proof system from a given un-focused proof system if it satisfies some conditions. Our key idea is to generalize the completeness proof based on permutation lemmas given by Miller and Saurin for the focused linear logic proof system. This is done by building a graph from the rule permutation relation of a proof system, called permutation graph. We then show that from the per- mutation graph of a given proof system, it is possible to construct a complete focused proof system, and additionally infer for which formulas contraction is admissible. An implementation for building the permutation graph of a system is provided. We apply our technique to generate the focused proof systems MALLF, LJF and LKF for linear, intuitionistic and classical logics, respectively. 1 Introduction In spite of its widespread use, the proposition and completeness proofs of focused proof systems are still an ad-hoc and hard task, done for each individual system separately. For example, the original completeness proof for the focused linear logic proof system (LLF) [1] is very specific to linear logic. -
The Sequent Calculus
Chapter udf The Sequent Calculus This chapter presents Gentzen's standard sequent calculus LK for clas- sical first-order logic. It could use more examples and exercises. To include or exclude material relevant to the sequent calculus as a proof system, use the \prfLK" tag. seq.1 Rules and Derivations fol:seq:rul: For the following, let Γ; ∆, Π; Λ represent finite sequences of sentences. sec Definition seq.1 (Sequent). A sequent is an expression of the form Γ ) ∆ where Γ and ∆ are finite (possibly empty) sequences of sentences of the lan- guage L. Γ is called the antecedent, while ∆ is the succedent. The intuitive idea behind a sequent is: if all of the sentences in the an- explanation tecedent hold, then at least one of the sentences in the succedent holds. That is, if Γ = h'1;:::;'mi and ∆ = h 1; : : : ; ni, then Γ ) ∆ holds iff ('1 ^ · · · ^ 'm) ! ( 1 _···_ n) holds. There are two special cases: where Γ is empty and when ∆ is empty. When Γ is empty, i.e., m = 0, ) ∆ holds iff 1 _···_ n holds. When ∆ is empty, i.e., n = 0, Γ ) holds iff :('1 ^ · · · ^ 'm) does. We say a sequent is valid iff the corresponding sentence is valid. If Γ is a sequence of sentences, we write Γ; ' for the result of appending ' to the right end of Γ (and '; Γ for the result of appending ' to the left end of Γ ). If ∆ is a sequence of sentences also, then Γ; ∆ is the concatenation of the two sequences. 1 Definition seq.2 (Initial Sequent).