Structural Interactions and Absorption of Structural Rules in BI Sequent Calculus
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Implicit Versus Explicit Knowledge in Dialogical Logic Manuel Rebuschi
Implicit versus Explicit Knowledge in Dialogical Logic Manuel Rebuschi To cite this version: Manuel Rebuschi. Implicit versus Explicit Knowledge in Dialogical Logic. Ondrej Majer, Ahti-Veikko Pietarinen and Tero Tulenheimo. Games: Unifying Logic, Language, and Philosophy, Springer, pp.229-246, 2009, 10.1007/978-1-4020-9374-6_10. halshs-00556250 HAL Id: halshs-00556250 https://halshs.archives-ouvertes.fr/halshs-00556250 Submitted on 16 Jan 2011 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. Implicit versus Explicit Knowledge in Dialogical Logic Manuel Rebuschi L.P.H.S. – Archives H. Poincar´e Universit´ede Nancy 2 [email protected] [The final version of this paper is published in: O. Majer et al. (eds.), Games: Unifying Logic, Language, and Philosophy, Dordrecht, Springer, 2009, 229-246.] Abstract A dialogical version of (modal) epistemic logic is outlined, with an intuitionistic variant. Another version of dialogical epistemic logic is then provided by means of the S4 mapping of intuitionistic logic. Both systems cast new light on the relationship between intuitionism, modal logic and dialogical games. Introduction Two main approaches to knowledge in logic can be distinguished [1]. The first one is an implicit way of encoding knowledge and consists in an epistemic interpretation of usual logic. -
Relevant and Substructural Logics
Relevant and Substructural Logics GREG RESTALL∗ PHILOSOPHY DEPARTMENT, MACQUARIE UNIVERSITY [email protected] June 23, 2001 http://www.phil.mq.edu.au/staff/grestall/ Abstract: This is a history of relevant and substructural logics, written for the Hand- book of the History and Philosophy of Logic, edited by Dov Gabbay and John Woods.1 1 Introduction Logics tend to be viewed of in one of two ways — with an eye to proofs, or with an eye to models.2 Relevant and substructural logics are no different: you can focus on notions of proof, inference rules and structural features of deduction in these logics, or you can focus on interpretations of the language in other structures. This essay is structured around the bifurcation between proofs and mod- els: The first section discusses Proof Theory of relevant and substructural log- ics, and the second covers the Model Theory of these logics. This order is a natural one for a history of relevant and substructural logics, because much of the initial work — especially in the Anderson–Belnap tradition of relevant logics — started by developing proof theory. The model theory of relevant logic came some time later. As we will see, Dunn's algebraic models [76, 77] Urquhart's operational semantics [267, 268] and Routley and Meyer's rela- tional semantics [239, 240, 241] arrived decades after the initial burst of ac- tivity from Alan Anderson and Nuel Belnap. The same goes for work on the Lambek calculus: although inspired by a very particular application in lin- guistic typing, it was developed first proof-theoretically, and only later did model theory come to the fore. -
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). -
Chapter 10: Symbolic Trails and Formal Proofs of Validity, Part 2
Essential Logic Ronald C. Pine CHAPTER 10: SYMBOLIC TRAILS AND FORMAL PROOFS OF VALIDITY, PART 2 Introduction In the previous chapter there were many frustrating signs that something was wrong with our formal proof method that relied on only nine elementary rules of validity. Very simple, intuitive valid arguments could not be shown to be valid. For instance, the following intuitively valid arguments cannot be shown to be valid using only the nine rules. Somalia and Iran are both foreign policy risks. Therefore, Iran is a foreign policy risk. S I / I Either Obama or McCain was President of the United States in 2009.1 McCain was not President in 2010. So, Obama was President of the United States in 2010. (O v C) ~(O C) ~C / O If the computer networking system works, then Johnson and Kaneshiro will both be connected to the home office. Therefore, if the networking system works, Johnson will be connected to the home office. N (J K) / N J Either the Start II treaty is ratified or this landmark treaty will not be worth the paper it is written on. Therefore, if the Start II treaty is not ratified, this landmark treaty will not be worth the paper it is written on. R v ~W / ~R ~W 1 This or statement is obviously exclusive, so note the translation. 427 If the light is on, then the light switch must be on. So, if the light switch in not on, then the light is not on. L S / ~S ~L Thus, the nine elementary rules of validity covered in the previous chapter must be only part of a complete system for constructing formal proofs of validity. -
Applications of Non-Classical Logic Andrew Tedder University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 8-8-2018 Applications of Non-Classical Logic Andrew Tedder University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Tedder, Andrew, "Applications of Non-Classical Logic" (2018). Doctoral Dissertations. 1930. https://opencommons.uconn.edu/dissertations/1930 Applications of Non-Classical Logic Andrew Tedder University of Connecticut, 2018 ABSTRACT This dissertation is composed of three projects applying non-classical logic to problems in history of philosophy and philosophy of logic. The main component concerns Descartes’ Creation Doctrine (CD) – the doctrine that while truths concerning the essences of objects (eternal truths) are necessary, God had vol- untary control over their creation, and thus could have made them false. First, I show a flaw in a standard argument for two interpretations of CD. This argument, stated in terms of non-normal modal logics, involves a set of premises which lead to a conclusion which Descartes explicitly rejects. Following this, I develop a multimodal account of CD, ac- cording to which Descartes is committed to two kinds of modality, and that the apparent contradiction resulting from CD is the result of an ambiguity. Finally, I begin to develop two modal logics capturing the key ideas in the multi-modal interpretation, and provide some metatheoretic results concerning these logics which shore up some of my interpretive claims. The second component is a project concerning the Channel Theoretic interpretation of the ternary relation semantics of relevant and substructural logics. Following Barwise, I de- velop a representation of Channel Composition, and prove that extending the implication- conjunction fragment of B by composite channels is conservative. -
The Bounds of Logic Part 2
To Ik a Logical Term 37 Chapter 3 To Be a Logical Ternl logic; at the same time, the principles developed by Tarski in the 1930s are still the principles underlying logic in the early 1990s. My interest in Tarski is, Ileedless to say, not historical. I am interested in the modern conception of logic as it evolved out of Tarski's early work in semantics. The Task of Logic and the Origins of Semantics In "The Concept of Truth in Formalized Languages" (1933). "On the Concept of Logical Consequence" (1936a), and "The Establishment of Scientific Semantics" (1936b), Tarski describes the semantic project as comprising two tasks: Since the discovery ofgeneralized quantifiers by A. Mostowski (1957), the I. Definition of the gelleral concept of truth for formalized languages question "What is a logical term?" has taken on a significance it did not 2. Dclinition of the logical concepts of truth, consequence, consistency. have before. Are Mostowski's quantifiers Hlogical" quantifiers'! Do they etc. , differ in any significant way from the standard existential and universal The main purpose of (I) is to secure meta logic against semantic para I quantifiers? What logical operators, if any, has he left out? What. ill doxes. Tarski worried lest the ullcritical usc of semantic concepts prior to I all, are the first- and second-level predicates and rcla tions that can be his work concealed an inconsistency: a hidden fallacy would undermine construed as logical? the cntire venturc. Be therefore sought precise, materially, as well as One way in which I do not want to ask the question is, "What, ill Ihe formally, correct definitions of "truth" and related notions to serve as a I nature ofthings, makes a property or a relation logical'!" On this road lie hedge against paradox. -
A Absorption, 32 Addition, 33 Adequacy Theorem, 80 AEIO, 38 Agreement, 98 Algebra, 7 Argument, 4, 9 Artificial Intelligence
Index A Constructive dilemma, 32 Absorption, 32 Contingent, 28 Addition, 33 Contradiction, 28, 46 Adequacy theorem, 80 Convince, 11 AEIO, 38 Corallary, 8 Agreement, 98 Cryptography, 9 Algebra, 7 Culture of proving, 4 Argument, 4, 9 Artificial Intelligence, 118 Assertions, 4, 19, 26 D Atomic, 60, 95 Data Analyst, 3 Axioms, 15, 93 Data Scientist, 3 Davis, M., 119 Decision Support Systems, 3 B Deduction, 4 Biconditional, 29 Deduction rules, 30, 93 Bill Nye, 11 Deduction theorem, 79, 106 Biology, 3 De Morgan, 29, 39 Bound variables, 98 Derivation, 30 Direct method, 43 Disjunction, 26 C Disjunctive Normal Form (DNF), 83 Calculus, 9 Distribution, 39 Cardinality, 44 Domain, 36, 99 Categorical forms, 38 Double Negation, 29 Categorical syllogism, 36 Dysjunctive syllogism, 32 Combinatorics, 22 Commutativity, 39 Complete, 77 E Completeness, 104 Econometrics, 3 Completeness theorem, 81, 82 Emojies, 16 Conjunction, 26, 33 Engineering, 9 Conjunctive Normal Form (CNF), 83 Entry, 59 Connectives, 26, 62 Euclid, 5 Consequences, 69 Euclidean Division Theorem, 48 Consistency, 77, 104 Euclid’s Theorem, 9 Constants, 36, 94 Ex falso quodlibet, 34 © Springer Nature Switzerland AG 2021 131 L. P. Cruz, Theoremus, https://doi.org/10.1007/978-3-030-68375-7 132 Index Existential generalization, 41 Law of Indentity (LOI), 30 Existential instantiation, 41 Law of Non-Contradiction (LNC), 30 Exists, 23 Leibnitz principle, 103 Exportation, 29 Lemma, 7 Logical equivalence, 98 Logic, equivalence, 29 F Logic, higher order, 93 Fallacy, 12, 42 Logic, non-classical, 30 Fallacy, -
Homotopy Type-Theoretic Interpretations of Constructive Set Theories
Homotopy Type-Theoretic Interpretations of Constructive Set Theories Cesare Gallozzi Submitted in accordance with the requirements for the degree of Doctor of Philosophy The University of Leeds School of Mathematics July 2018 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 acknowledge- ment. c 2018, The University of Leeds and Cesare Gallozzi The right of Cesare Gallozzi to be identified as author of this work has been asserted by him in accordance with the Copyright, Designs and Patents Act 1988. To all my teachers. Acknowledgements I wish to thank all those who made this thesis possible. I thank all my teachers and in particular my supervisor Nicola Gambino for his tireless generosity and all the help and guidance he offered during the course of the PhD. I thank the University of Leeds and the School of Mathematics for their financial support. I thank all those who contributed to improve this thesis by answering my ques- tions or making comments on the material: my co-supervisor Michael Rathjen, and also Peter Hancock, John Truss, Stan Wainer, Martin Hofmann, Helmut Schwichtenberg, Michael Toppel, Anton Freund, Andrew Swan, Jakob Vidmar, Nicolai Kraus and Fredrik Nordvall Forsberg. I thank my parents and my grandmother for all their care and for encouraging my interests in science and mathematics since my early childhood. -
Linear Logic and Noncommutativity in the Calculus of Structures
Linear Logic and Noncommutativity in the Calculus of Structures Dissertation zur Erlangung des akademischen Grades Doktor rerum naturalium (Dr. rer. nat.) vorgelegt an der Technischen Universit¨at Dresden Fakult¨at Informatik eingereicht am 26. Mai 2003 von Diplom-Informatiker Lutz Straßburger geboren am 21. April 1975 in Dresden Betreuer: Dr. Alessio Guglielmi Betreuender Hochschullehrer: Prof. Dr. rer. nat. habil. Steffen H¨olldobler Gutachter: Prof. Dr. rer. nat. habil. Steffen H¨olldobler Dr. Fran¸cois Lamarche Prof. Dr. rer. nat. habil. Horst Reichel Disputation am 24. Juli 2003 Acknowledgements Iamparticularlyindebted to Alessio Guglielmi. Whithout his advice and guidance this thesis would not have been written. He awoke my interest for thefascinating field of proof theory and introduced me to the calculus of structures. I benefited from many fruitful and inspiring discussions with him, and in desperate situations he encouraged me to keep going. He also provided me with his TEXmacrosfor typesetting derivations. IamgratefultoSteffenH¨olldobler for accepting the supervision of this thesis and for providing ideal conditions for doing research. He also made many helpful suggestions forimproving the readability. I am obliged to Fran¸cois Lamarche and Horst Reichel for accepting to be referees. Iwouldlike to thank Kai Br¨unnler, Paola Bruscoli, Charles Stewart, and Alwen Tiu for many fruitful discussion during the last three years. In particular, I am thankful to Kai Br¨unnler for struggling himself through a preliminary version and making helpful comments. Jim Lipton and Charles Stewart made valuable suggestions for improving the introduction. Additionally, I would like to thank Claus J¨urgensen for the fun we had in discussing TEXmacros.Inparticular, the (self-explanatory) macro \clap,whichisused on almost every page, came out of such a discussion. -
Arxiv:2104.09716V1 [Cs.LO] 20 Apr 2021 Redistribution
Decidability and Complexity in Weakening and Contraction Hypersequent Substructural Logics∗ A. R. Balasubramanian Technische Universit¨at Munchen [email protected] Timo Lang Revantha Ramanayake Technische Universit¨at Wien University of Groningen [email protected] [email protected] Abstract We establish decidability for the infinitely many axiomatic extensions of the commutative Full Lambek logic with weakening FLew (i.e. IMALLW) that have a cut-free hypersequent proof calculus (specifically: every an- alytic structural rule extension). Decidability for the corresponding ex- tensions of its contraction counterpart FLec was established recently but their computational complexity was left unanswered. In the second part of this paper, we introduce just enough on length functions for well-quasi- orderings and the fast-growing complexity classes to obtain complexity upper bounds for both the weakening and contraction extensions. A spe- cific instance of this result yields the first complexity bound for the promi- nent fuzzy logic MTL (monoidal t-norm based logic) providing an answer to a long-standing open problem. 1 Introduction arXiv:2104.09716v1 [cs.LO] 20 Apr 2021 Logical systems (or simply, logics) model the reasoning that applies within various concepts. Two familiar examples are classical logic (modelling truth) and intuitionistic logic (modelling constructive proof). A substructural logic lacks some of the properties (‘structural rules’) of these logics. The most no- table structural rules are weakening (insert an arbitrary hypothesis), contrac- tion (delete a copy of a hypothesis that occurs multiple times), commutativ- ity/exchange (swap the position of hypotheses), and associativity. Let us demonstrate the motivation for omitting structural rules via some examples. -
What Does It Mean to Say That Logic Is Formal?
WHAT DOES IT MEAN TO SAY THAT LOGIC IS FORMAL? by John Gordon MacFarlane A.B., Philosophy, Harvard College, 1991 M.A., Philosophy, University of Pittsburgh, 1994 M.A., Classics, University of Pittsburgh, 1997 Submitted to the Graduate Faculty of Arts and Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2000 i Robert Brandom, Distinguished Service Professor of Philosophy (Director) Nuel Belnap, Alan Ross Anderson Distinguished Professor of Philosophy (Second Reader) Joseph Camp, Professor of Philosophy Danielle Macbeth, Associate Professor of Philosophy, Haverford College (Outside Reader) Kenneth Manders, Associate Professor of Philosophy Gerald Massey, Distinguished Service Professor of Philosophy ii WHAT DOES IT MEAN TO SAY THAT LOGIC IS FORMAL? John Gordon MacFarlane, PhD University of Pittsburgh, 2000 Much philosophy of logic is shaped, explicitly or implicitly, by the thought that logic is distinctively formal and abstracts from material content. The distinction between formal and material does not appear to coincide with the more familiar contrasts between a pri- ori and empirical, necessary and contingent, analytic and synthetic—indeed, it is often invoked to explain these. Nor, it turns out, can it be explained by appeal to schematic inference patterns, syntactic rules, or grammar. What does it mean, then, to say that logic is distinctively formal? Three things: logic is said to be formal (or “topic-neutral”) (1) in the sense that it provides constitutive norms for thought as such, (2) in the sense that it is indifferent to the particular identities of objects, and (3) in the sense that it abstracts entirely from the semantic content of thought.