Short Papers Advances in Modal Logic Aiml 2020 Ii
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
LOGIC BIBLIOGRAPHY up to 2008
LOGIC BIBLIOGRAPHY up to 2008 by L. Geldsetzer © Copyright reserved Download only for personal use permitted Heinrich Heine Universität Düsseldorf 2008 II Contents 1. Introductions 1 2. Dictionaries 3 3. Course Material 4 4. Handbooks 5 5. Readers 5 6. Bibliographies 6 7. Journals 7 8. History of Logic and Foundations of Mathematics 9 a. Gerneral 9 b. Antiquity 10 c. Chinese Antiquity 11 d. Scholastics 12 e. Islamic Medieval Scholastics 12 f. Modern Times 13 g. Contemporary 13 9. Classics of Logics 15 a. Antiquity 15 b. Medieval Scholastics 17 c. Modern and Recent Times 18 d. Indian Logic, History and Classics 25 10. Topics of Logic 27 1. Analogy and Metaphor, Likelihood 27 2. Argumentation, Argument 27 3. Axiom, Axiomatics 28 4. Belief, Believing 28 5. Calculus 29 8. Commensurability, see also: Incommensurability 31 9. Computability and Decidability 31 10. Concept, Term 31 11. Construction, Constructivity 34 12. Contradiction, Inconsistence, Antinomics 35 13. Copula 35 14. Counterfactuals, Fiction, see also : Modality 35 15. Decision 35 16. Deduction 36 17. Definition 36 18. Diagram, see also: Knowledge Representation 37 19. Dialectic 37 20. Dialethism, Dialetheism, see also: Contradiction and Paracon- sistent Logic 38 21. Discovery 38 22. Dogma 39 23. Entailment, Implication 39 24. Evidence 39 25. Falsity 40 26. Fallacy 40 27. Falsification 40 III 28. Family Resemblance 41 2 9. Formalism 41 3 0. Function 42 31. Functors, Junct ors, Logical Constants or Connectives 42 32. Holism 43 33. Hypothetical Propositions, Hypotheses 44 34. Idealiz ation 44 35. Id entity 44 36. Incommensurability 45 37. Incompleteness 45 38. -
The Modal Logic of Potential Infinity, with an Application to Free Choice
The Modal Logic of Potential Infinity, With an Application to Free Choice Sequences Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Ethan Brauer, B.A. ∼6 6 Graduate Program in Philosophy The Ohio State University 2020 Dissertation Committee: Professor Stewart Shapiro, Co-adviser Professor Neil Tennant, Co-adviser Professor Chris Miller Professor Chris Pincock c Ethan Brauer, 2020 Abstract This dissertation is a study of potential infinity in mathematics and its contrast with actual infinity. Roughly, an actual infinity is a completed infinite totality. By contrast, a collection is potentially infinite when it is possible to expand it beyond any finite limit, despite not being a completed, actual infinite totality. The concept of potential infinity thus involves a notion of possibility. On this basis, recent progress has been made in giving an account of potential infinity using the resources of modal logic. Part I of this dissertation studies what the right modal logic is for reasoning about potential infinity. I begin Part I by rehearsing an argument|which is due to Linnebo and which I partially endorse|that the right modal logic is S4.2. Under this assumption, Linnebo has shown that a natural translation of non-modal first-order logic into modal first- order logic is sound and faithful. I argue that for the philosophical purposes at stake, the modal logic in question should be free and extend Linnebo's result to this setting. I then identify a limitation to the argument for S4.2 being the right modal logic for potential infinity. -
DRAFT: Final Version in Journal of Philosophical Logic Paul Hovda
Tensed mereology DRAFT: final version in Journal of Philosophical Logic Paul Hovda There are at least three main approaches to thinking about the way parthood logically interacts with time. Roughly: the eternalist perdurantist approach, on which the primary parthood relation is eternal and two-placed, and objects that persist persist by having temporal parts; the parameterist approach, on which the primary parthood relation is eternal and logically three-placed (x is part of y at t) and objects may or may not have temporal parts; and the tensed approach, on which the primary parthood relation is two-placed but (in many cases) temporary, in the sense that it may be that x is part of y, though x was not part of y. (These characterizations are brief; too brief, in fact, as our discussion will eventually show.) Orthogonally, there are different approaches to questions like Peter van Inwa- gen's \Special Composition Question" (SCQ): under what conditions do some objects compose something?1 (Let us, for the moment, work with an undefined notion of \compose;" we will get more precise later.) One central divide is be- tween those who answer the SCQ with \Under any conditions!" and those who disagree. In general, we can distinguish \plenitudinous" conceptions of compo- sition, that accept this answer, from \sparse" conceptions, that do not. (van Inwagen uses the term \universalist" where we use \plenitudinous.") A question closely related to the SCQ is: under what conditions do some objects compose more than one thing? We may distinguish “flat” conceptions of composition, on which the answer is \Under no conditions!" from others. -
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). -
Deontic Logic and Meta-Ethics
Deontic Logic and Meta-Ethics • Deontic Logic as been a field in which quite apart from the questions of antinomies "paradoxes" have played a decisive roles, since the field has been invented. These paradoxes (like Ross' Paradox or the Good Samaritian) are said to show that some intuitively valid logical principles cannot be true in deontic logic, even if the same principles (like deductive closure within a modality) are valid in alethic modal logic. Paraconsistency is not concerned with solutions to these paradoxes. pp ∧¬∧¬pp • There are, however, lots of problems with ex contradictione qoudlibet Manuel Bremer in deontic logic, since systems of norms and regulations, even more so Centre for Logic, Language and if they are historically grown, have a tendency to contain conflicting Information requirements. To restrict the ensuing problems at least a weak paraconsistent logic is needed. • There may be, further on, real antinomies of deontic logic and meta- ethics (understood comprehensively as including also some basic decision and game theory). Inconsistent Obligations • It often may happen that one is confronted with inconsistent obligations. • Consider for example the rule that term papers have to be handed in at the institute's office one week before the session in question combined with the rule that one must not disturb the secretary at the institute's office if she is preparing an institute meeting. What if the date of handing in your paper falls on a day when an institute meeting is pp ∧¬∧¬pp prepared? Entering the office is now obligatory (i.e. it is obligatory that it is the Manuel Bremer case that N.N. -
The Rise and Fall of LTL
The Rise and Fall of LTL Moshe Y. Vardi Rice University Monadic Logic Monadic Class: First-order logic with = and monadic predicates – captures syllogisms. • (∀x)P (x), (∀x)(P (x) → Q(x)) |=(∀x)Q(x) [Lowenheim¨ , 1915]: The Monadic Class is decidable. • Proof: Bounded-model property – if a sentence is satisfiable, it is satisfiable in a structure of bounded size. • Proof technique: quantifier elimination. Monadic Second-Order Logic: Allow second- order quantification on monadic predicates. [Skolem, 1919]: Monadic Second-Order Logic is decidable – via bounded-model property and quantifier elimination. Question: What about <? 1 Nondeterministic Finite Automata A = (Σ,S,S0,ρ,F ) • Alphabet: Σ • States: S • Initial states: S0 ⊆ S • Nondeterministic transition function: ρ : S × Σ → 2S • Accepting states: F ⊆ S Input word: a0, a1,...,an−1 Run: s0,s1,...,sn • s0 ∈ S0 • si+1 ∈ ρ(si, ai) for i ≥ 0 Acceptance: sn ∈ F Recognition: L(A) – words accepted by A. 1 - - Example: • • – ends with 1’s 6 0 6 ¢0¡ ¢1¡ Fact: NFAs define the class Reg of regular languages. 2 Logic of Finite Words View finite word w = a0,...,an−1 over alphabet Σ as a mathematical structure: • Domain: 0,...,n − 1 • Binary relation: < • Unary relations: {Pa : a ∈ Σ} First-Order Logic (FO): • Unary atomic formulas: Pa(x) (a ∈ Σ) • Binary atomic formulas: x < y Example: (∃x)((∀y)(¬(x < y)) ∧ Pa(x)) – last letter is a. Monadic Second-Order Logic (MSO): • Monadic second-order quantifier: ∃Q • New unary atomic formulas: Q(x) 3 NFA vs. MSO Theorem [B¨uchi, Elgot, Trakhtenbrot, 1957-8 (independently)]: MSO ≡ NFA • Both MSO and NFA define the class Reg. -
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). -
Probabilistic Semantics for Modal Logic
Probabilistic Semantics for Modal Logic By Tamar Ariela Lando A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Philosophy in the Graduate Division of the University of California, Berkeley Committee in Charge: Paolo Mancosu (Co-Chair) Barry Stroud (Co-Chair) Christos Papadimitriou Spring, 2012 Abstract Probabilistic Semantics for Modal Logic by Tamar Ariela Lando Doctor of Philosophy in Philosophy University of California, Berkeley Professor Paolo Mancosu & Professor Barry Stroud, Co-Chairs We develop a probabilistic semantics for modal logic, which was introduced in recent years by Dana Scott. This semantics is intimately related to an older, topological semantics for modal logic developed by Tarski in the 1940’s. Instead of interpreting modal languages in topological spaces, as Tarski did, we interpret them in the Lebesgue measure algebra, or algebra of measurable subsets of the real interval, [0, 1], modulo sets of measure zero. In the probabilistic semantics, each formula is assigned to some element of the algebra, and acquires a corresponding probability (or measure) value. A formula is satisfed in a model over the algebra if it is assigned to the top element in the algebra—or, equivalently, has probability 1. The dissertation focuses on questions of completeness. We show that the propo- sitional modal logic, S4, is sound and complete for the probabilistic semantics (formally, S4 is sound and complete for the Lebesgue measure algebra). We then show that we can extend this semantics to more complex, multi-modal languages. In particular, we prove that the dynamic topological logic, S4C, is sound and com- plete for the probabilistic semantics (formally, S4C is sound and complete for the Lebesgue measure algebra with O-operators). -
Logic-Sensitivity of Aristotelian Diagrams in Non-Normal Modal Logics
axioms Article Logic-Sensitivity of Aristotelian Diagrams in Non-Normal Modal Logics Lorenz Demey 1,2 1 Center for Logic and Philosophy of Science, KU Leuven, 3000 Leuven, Belgium; [email protected] 2 KU Leuven Institute for Artificial Intelligence, KU Leuven, 3000 Leuven, Belgium Abstract: Aristotelian diagrams, such as the square of opposition, are well-known in the context of normal modal logics (i.e., systems of modal logic which can be given a relational semantics in terms of Kripke models). This paper studies Aristotelian diagrams for non-normal systems of modal logic (based on neighborhood semantics, a topologically inspired generalization of relational semantics). In particular, we investigate the phenomenon of logic-sensitivity of Aristotelian diagrams. We distin- guish between four different types of logic-sensitivity, viz. with respect to (i) Aristotelian families, (ii) logical equivalence of formulas, (iii) contingency of formulas, and (iv) Boolean subfamilies of a given Aristotelian family. We provide concrete examples of Aristotelian diagrams that illustrate these four types of logic-sensitivity in the realm of normal modal logic. Next, we discuss more subtle examples of Aristotelian diagrams, which are not sensitive with respect to normal modal logics, but which nevertheless turn out to be highly logic-sensitive once we turn to non-normal systems of modal logic. Keywords: Aristotelian diagram; non-normal modal logic; square of opposition; logical geometry; neighborhood semantics; bitstring semantics MSC: 03B45; 03A05 Citation: Demey, L. Logic-Sensitivity of Aristotelian Diagrams in Non-Normal Modal Logics. Axioms 2021, 10, 128. https://doi.org/ 1. Introduction 10.3390/axioms10030128 Aristotelian diagrams, such as the so-called square of opposition, visualize a number Academic Editor: Radko Mesiar of formulas from some logical system, as well as certain logical relations holding between them. -
On Constructive Linear-Time Temporal Logic
Replace this file with prentcsmacro.sty for your meeting, or with entcsmacro.sty for your meeting. Both can be found at the ENTCS Macro Home Page. On Constructive Linear-Time Temporal Logic Kensuke Kojima1 and Atsushi Igarashi2 Graduate School of Informatics Kyoto University Kyoto, Japan Abstract In this paper we study a version of constructive linear-time temporal logic (LTL) with the “next” temporal operator. The logic is originally due to Davies, who has shown that the proof system of the logic corre- sponds to a type system for binding-time analysis via the Curry-Howard isomorphism. However, he did not investigate the logic itself in detail; he has proved only that the logic augmented with negation and classical reasoning is equivalent to (the “next” fragment of) the standard formulation of classical linear-time temporal logic. We give natural deduction and Kripke semantics for constructive LTL with conjunction and disjunction, and prove soundness and completeness. Distributivity of the “next” operator over disjunction “ (A ∨ B) ⊃ A ∨ B” is rejected from a computational viewpoint. We also give a formalization by sequent calculus and its cut-elimination procedure. Keywords: constructive linear-time temporal logic, Kripke semantics, sequent calculus, cut elimination 1 Introduction Temporal logic is a family of (modal) logics in which the truth of propositions may depend on time, and is useful to describe various properties of state transition systems. Linear-time temporal logic (LTL, for short), which is used to reason about properties of a fixed execution path of a system, is temporal logic in which each time has a unique time that follows it. -
A Unifying Field in Logics: Neutrosophic Logic
University of New Mexico UNM Digital Repository Faculty and Staff Publications Mathematics 2007 A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS - 6th ed. Florentin Smarandache University of New Mexico, [email protected] Follow this and additional works at: https://digitalrepository.unm.edu/math_fsp Part of the Algebra Commons, Logic and Foundations Commons, Other Applied Mathematics Commons, and the Set Theory Commons Recommended Citation Florentin Smarandache. A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS - 6th ed. USA: InfoLearnQuest, 2007 This Book is brought to you for free and open access by the Mathematics at UNM Digital Repository. It has been accepted for inclusion in Faculty and Staff Publications by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected], [email protected], [email protected]. FLORENTIN SMARANDACHE A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS (sixth edition) InfoLearnQuest 2007 FLORENTIN SMARANDACHE A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS (sixth edition) This book can be ordered in a paper bound reprint from: Books on Demand ProQuest Information & Learning (University of Microfilm International) 300 N. Zeeb Road P.O. Box 1346, Ann Arbor MI 48106-1346, USA Tel.: 1-800-521-0600 (Customer Service) http://wwwlib.umi.com/bod/basic Copyright 2007 by InfoLearnQuest. Plenty of books can be downloaded from the following E-Library of Science: http://www.gallup.unm.edu/~smarandache/eBooks-otherformats.htm Peer Reviewers: Prof. M. Bencze, College of Brasov, Romania.