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Frontiers of Conditional Logic
City University of New York (CUNY) CUNY Academic Works All Dissertations, Theses, and Capstone Projects Dissertations, Theses, and Capstone Projects 2-2019 Frontiers of Conditional Logic Yale Weiss The Graduate Center, City University of New York How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/gc_etds/2964 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] Frontiers of Conditional Logic by Yale Weiss A dissertation submitted to the Graduate Faculty in Philosophy in partial fulfillment of the requirements for the degree of Doctor of Philosophy, The City University of New York 2019 ii c 2018 Yale Weiss All Rights Reserved iii This manuscript has been read and accepted by the Graduate Faculty in Philosophy in satisfaction of the dissertation requirement for the degree of Doctor of Philosophy. Professor Gary Ostertag Date Chair of Examining Committee Professor Nickolas Pappas Date Executive Officer Professor Graham Priest Professor Melvin Fitting Professor Edwin Mares Professor Gary Ostertag Supervisory Committee The City University of New York iv Abstract Frontiers of Conditional Logic by Yale Weiss Adviser: Professor Graham Priest Conditional logics were originally developed for the purpose of modeling intuitively correct modes of reasoning involving conditional|especially counterfactual|expressions in natural language. While the debate over the logic of conditionals is as old as propositional logic, it was the development of worlds semantics for modal logic in the past century that cat- alyzed the rapid maturation of the field. -
On the Succinctness of Atoms of Dependency
Logical Methods in Computer Science Volume 15, Issue 3, 2019, pp. 17:1–17:28 Submitted Mar. 07, 2019 https://lmcs.episciences.org/ Published Aug. 20, 2019 ON THE SUCCINCTNESS OF ATOMS OF DEPENDENCY MARTIN LUCK¨ a AND MIIKKA VILANDER b a Leibniz University Hannover e-mail address: [email protected] b Tampere University e-mail address: [email protected] Abstract. Propositional team logic is the propositional analog to first-order team logic. Non-classical atoms of dependence, independence, inclusion, exclusion and anonymity can be expressed in it, but for all atoms except dependence only exponential translations are known. In this paper, we systematically compare their succinctness in the existential fragment, where the splitting disjunction only occurs positively, and in full propositional team logic with unrestricted negation. By introducing a variant of the Ehrenfeucht{Fra¨ıss´e game called formula size game into team logic, we obtain exponential lower bounds in the existential fragment for all atoms. In the full fragment, we present polynomial upper bounds also for all atoms. 1. Introduction As a novel extension of classical logic, team semantics provides a framework for reasoning about whole collections of entities at once, as well as their relation with each other. Such a collection of entities is called a team. Originally, team semantics was introduced by Hodges [Hod97] to provide a compositional approach to logic of incomplete information, such as Hintikka's and Sandu's independence-friendly logic (IF-logic) [HS89]. In his seminal work, V¨a¨an¨anen[V¨a07] introduced dependence logic which extends first-order logic by so-called dependence atoms, atomic formulas =(x1; : : : ; xn; y) that in- tuitively express that the value of y depends only on the values of x1; : : : ; xn. -
Non-Classical Logics; 2
{A} An example of logical metatheory would be giving a proof, Preliminaries in English, that a certain logical system is sound and com- plete, i.e., that every inference its deductive system allows is valid according to its semantics, and vice versa. Since the proof is about a logical system, the proof is not given A.1 Some Vocabulary within that logical system, but within the metalanguage. An object language is a language under discussion or be- Though it is not our main emphasis, we will be doing a fair ing studied (the “object” of our study). amount of logical metatheory in this course. Our metalan- guage will be English, and to avoid confusion, we will use A metalanguage is the language used when discussing an English words like “if”, “and” and “not” rather than their object language. corresponding object language equivalents when work- In logic courses we often use English as a metalanguage ing in the metalanguage. We will, however, be employing when discussing an object language consisting of logical a smattering of symbols in the metalanguage, including symbols along with variables, constants and/or proposi- generic mathematical symbols, symbols from set theory, tional parameters. and some specialized symbols such as “” and “ ”. ` As logical studies become more advanced and sophisti- cated, it becomes more and more important to keep the A.2 Basic Set Theory object language and metalanguage clearly separated. A logical system, or a “logic” for short, typically consists of We shall use these signs metalanguage only. (In another three things (but may consist of only the rst two, or the logic course, you might nd such signs used in the object rst and third): language.) 1. -
Reflecting on the Legacy of CI Lewis
Organon F, Volume 26, 2019, Issue 3 Special Issue Reflecting on the Legacy of C.I. Lewis: Contemporary and Historical Perspectives on Modal Logic Matteo Pascucci and Adam Tamas Tuboly Guest Editors Contents Matteo Pascucci and Adam Tamas Tuboly: Preface ................................... 318 Research Articles Max Cresswell: Modal Logic before Kripke .................................................. 323 Lloyd Humberstone: Semantics without Toil? Brady and Rush Meet Halldén .................................................................................................. 340 Edwin Mares and Francesco Paoli: C. I. Lewis, E. J. Nelson, and the Modern Origins of Connexive Logic ............................................... 405 Claudio Pizzi: Alternative Axiomatizations of the Conditional System VC ............................................................................................ 427 Thomas Atkinson, Daniel Hill and Stephen McLeod: On a Supposed Puzzle Concerning Modality and Existence .......................................... 446 David B. Martens: Wiredu contra Lewis on the Right Modal Logic ............. 474 Genoveva Martí and José Martínez-Fernández: On ‘actually’ and ‘dthat’: Truth-conditional Differences in Possible Worlds Semantics ............... 491 Daniel Rönnedal: Semantic Tableau Versions of Some Normal Modal Systems with Propositional Quantifiers ................................................ 505 Report Martin Vacek: Modal Metaphysics: Issues on the (Im)possible VII ............. 537 Organon F 26 (3) 2019: 318–322 -
Bunched Logics a Uniform Approach
CORE Metadata, citation and similar papers at core.ac.uk Provided by UCL Discovery Bunched Logics A Uniform Approach Simon Robert Docherty A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy of University College London. Department of Computer Science University College London May 2, 2019 2 I, Simon Robert Docherty, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the work. Abstract Bunched logics have found themselves to be key tools in modern computer science, in particular through the industrial-level program verification formalism Separation Logic. Despite this—and in contrast to adjacent families of logics like modal and substructural logic—there is a lack of uniform methodology in their study, leaving many evident variants uninvestigated and many open problems unresolved. In this thesis we investigate the family of bunched logics—including previ- ously unexplored intuitionistic variants—through two uniform frameworks. The first is a system of duality theorems that relate the algebraic and Kripke-style inter- pretations of the logics; the second, a modular framework of tableaux calculi that are sound and complete for both the core logics themselves, as well as many classes of bunched logic model important for applications in program verification and systems modelling. In doing so we are able to resolve a number of open problems in the lit- erature, including soundness and completeness theorems for intuitionistic variants of bunched logics, classes of Separation Logic models and layered graph models; decidability of layered graph logics; a characterisation theorem for the classes of bunched logic model definable by bunched logic formulae; and the failure of Craig interpolation for principal bunched logics. -
De Finettian Logics of Indicative Conditionals
De Finettian Logics of Indicative Conditionals Part I: Trivalent Semantics and Validity Paul Égré, Lorenzo Rossi, Jan Sprenger Abstract This paper explores trivalent truth conditions for indicative conditionals, examin- ing the “defective” table put forward by de Finetti (1936), as well as Reichenbach (1944), first sketched in Reichenbach (1935). On their approach, a conditional takes the value of its consequent whenever its antecedent is True, and the value Indeterminate otherwise. Here we deal with the problem of choosing an ade- quate notion of validity for this conditional. We show that all standard trivalent schemes are problematic, and highlight two ways out of the predicament: one pairs de Finetti’s conditional (DF) with validity as the preservation of non-False values (TT-validity), but at the expense of Modus Ponens; the other modifies de Finetti’s table to restore Modus Ponens. In Part I of this paper, we present both alternatives, with specific attention to a variant of de Finetti’s table (CC) proposed by Cooper (1968) and Cantwell (2008). In Part II, we give an in-depth treatment of the proof theory of the resulting logics, DF/TT and CC/TT: both are connexive logics, but with significantly different algebraic properties. 1 Introduction Choosing a semantics for the indicative conditional of natural language “if A, then C” (henceforth, A → C) usually involves substantial tradeoffs. The most venera- ble account identifies the indicative conditional with the material conditional ¬A ∨ C and has several attractive features: it is truth-functional, allows for a straightforward treatment of nested conditionals, and satisfies various intuitive principles such as Con- ditional Proof and Import-Export. -
J. Michael Dunn and Greg Restall
J. MICHAEL DUNN AND GREG RESTALL RELEVANCE LOGIC 1 INTRODUCTION 1.1 Delimiting the topic The title of this piece is not `A Survey of Relevance Logic'. Such a project was impossible in the mid 1980s when the first version of this article was published, due to the development of the field and even the space limitations of the Handbook. The situation is if anything, more difficult now. For example Anderson and Belnap and Dunn's two volume [1975, 1992] work Entailment: The Logic of Relevance and Necessity, runs to over 1200 pages, and is their summary of just some of the work done by them and their co- workers up to about the late 1980s. Further, the comprehensive bibliography (prepared by R. G. Wolf) contains over 3000 entries in work on relevance logic and related fields. So, we need some way of delimiting our topic. To be honest the fact that we are writing this is already a kind of delimitation. It is natural that you shall find emphasised here the work that we happen to know best. But still rationality demands a less subjective rationale, and so we will proceed as follows. Anderson [1963] set forth some open problems for his and Belnap's sys- tem E that have given shape to much of the subsequent research in relevance logic (even much of the earlier work can be seen as related to these open problems, e.g. by giving rise to them). Anderson picks three of these prob- lems as major: (1) the admissibility of Ackermann's rule γ (the reader should not worry that he is expected to already know what this means), (2) the decision problems, (3) the providing of a semantics. -
CONNEXIVE CONDITIONAL LOGIC. Part I
Logic and Logical Philosophy Volume 28 (2019), 567–610 DOI: 10.12775/LLP.2018.018 Heinrich Wansing Matthias Unterhuber CONNEXIVE CONDITIONAL LOGIC. Part I Abstract. In this paper, first some propositional conditional logics based on Belnap and Dunn’s useful four-valued logic of first-degree entailment are introduced semantically, which are then turned into systems of weakly and unrestrictedly connexive conditional logic. The general frame semantics for these logics makes use of a set of allowable (or admissible) extension/anti- extension pairs. Next, sound and complete tableau calculi for these logics are presented. Moreover, an expansion of the basic conditional connexive logics by a constructive implication is considered, which gives an oppor- tunity to discuss recent related work, motivated by the combination of indicative and counterfactual conditionals. Tableau calculi for the basic constructive connexive conditional logics are defined and shown to be sound and complete with respect to their semantics. This semantics has to ensure a persistence property with respect to the preorder that is used to interpret the constructive implication. Keywords: conditional logic; connexive logic; paraconsistent logic; Chellas frames; Segerberg frames; general frames; first-degree entailment logic; Aris- totle’s theses; Boethius’ theses; extension/anti-extension pairs; tableaux 1. Introduction In this paper we consider a weak conditional, , that satisfies un- restrictedly Aristotle’s Theses and Boethius’ Theses if a very natural condition is imposed on -
A Truthmaker Semantics for Wansing's C
Bachelor thesis Bsc Artificial Intelligence A Truthmaker Semantics for Wansing's C Author: Supervisor: Wouter Vromen Dr. Johannes Korbmacher Student number: Second reader: 4270630 Dr. Erik Stei A 7.5 ECTS thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in the Faculty of Humanities August 2020 Introduction The aim of this thesis is to provide a truthmaker semantics for the propositional connexive logic C introduced by Heinrich Wansing [28]. The basic idea of thruthmaker semantics is that the truth of propositions are necessitated by states that are wholly relevant to the truth of said propositions. Note that this "state" can be a state of affairs, a state of facts, or anything else, as long as there is a mereology which is defined in chapter 2. An overview of truthmaker semantics can be found in [12]. There are many results achieved for truthmaker semantics in the past few years; a few are highlighted here: • There is a truthmaker semantics for first degree entailment which is es- sentially due to Bas van Fraassen [15]. Kit Fine in [10] established a modernized version of this result. • Fine also defined a truthmaker semantics for full intuitionistic logic [9]. • Mark Jago did the same for relevant logic [16]. Truthmaker semantics is a new shared semantic underpinning for these logics and constructing a truthmaker semantics for Wansing's C provides a way to compare it to the rest of these logics. C is a promising four-valued semantics for connexive logic. Logic is fundamental for artificial intelligence and database reasoning. -
The Modal Logic of Functional Dependence
THE MODAL LOGIC OF FUNCTIONAL DEPENDENCE Johan van Benthem and Alexandru Baltag ILLC, University of Amsterdam Dependence is Ubiquitous Dependence of x on y, or of x on a set Y: Correlated values (probability), Construction (vector spaces), Dependent occurrence or behavior (causality, games). Not necessarily one single notion! Diverse senses of dependence in logic: ∀x ∃y Rxy, {ϕ, ϕ ∧ ψ} Ontic coupled behavior in the physical world Epistemic information about x gives information about y We will explore one basic sense that applies to both. A Dependence Table Data base: tuples of values for attributes = assignment of objects to variables Global dependence x y z x → y: y depends on x 0 1 0 x → y, y → z (so: x → z) 1 1 0 not y → x (so: not z → x) 2 0 0 not z → y Local dependence x depends on y at (2, 0, 0) but not at (1, 1, 0) Dependence Models , D = (V, O, S, P) V variables (in fact, any abstract objects) O objects (possible values of variables) S family of functions from V to O V need not be full O : gaps = dependence P predicates of objects (if desired) DXy for all s, t in S: if s =X t, then s =y t with s =x t : s(x) = t(x), s =X t : ∀x∈X: s =x t also lifted to sets DXY : for all y∈Y: Dxy Background: CRS-style First-Order Logic Dependence models : ‘generalized assignment models’ M = (D, V, I) with V set of ‘available’ assignments M, s |= ∃x.ϕ iff there exists t in V with s =x t and M, t |= ϕ s =x t : s(y) = t(y) for all variables y distinct from x The validities of this semantics are RE and decidable. -
Humble Connexivity
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Universität München: Elektronischen Publikationen Logic and Logical Philosophy Volume 28 (2019), 513–536 DOI: 10.12775/LLP.2019.001 Andreas Kapsner HUMBLE CONNEXIVITY Abstract. In this paper, I review the motivation of connexive and strongly connexive logics, and I investigate the question why it is so hard to achieve those properties in a logic with a well motivated semantic theory. My answer is that strong connexivity, and even just weak connexivity, is too stringent a requirement. I introduce the notion of humble connexivity, which in essence is the idea to restrict the connexive requirements to possible antecedents. I show that this restriction can be well motivated, while it still leaves us with a set of requirements that are far from trivial. In fact, formalizing the idea of humble connexivity is not as straightforward as one might expect, and I offer three different proposals. I examine some well known logics to determine whether they are humbly connexive or not, and I end with a more wide-focused view on the logical landscape seen through the lens of humble connexivity. Keywords: connexive logic; strong connexivity; unsatisfiability; paraconsis- tency; conditional logic; modal logic 1. Introduction This paper is an attempt to answer a particular challenge to the en- terprise of connexive logic. It was put to me some years ago by David Makinson.1 1 Not only is he, by giving me this challenge, responsible for the existence of this paper, he also gave a number of suggestions that were of tremendous help to me in writing this paper; section 6 in particular owes its inclusion and form to these suggestions. -
The Dynamics of Imperfect Information
The Dynamics of Imperfect Information Pietro Galliani The Dynamics of Imperfect Information ILLC Dissertation Series DS-200X-NN For further information about ILLC-publications, please contact Institute for Logic, Language and Computation Universiteit van Amsterdam Science Park 904 1098 XH Amsterdam phone: +31-20-525 6051 fax: +31-20-525 5206 e-mail: [email protected] homepage: http://www.illc.uva.nl/ Copyright c 2012 by Pietro Galliani Printed and bound by GVO Drukkers & Vormgevers B.V. ISBN: 978–90–9026932–0 The Dynamics of Imperfect Information Academisch Proefschrift ter verkrijging van de graad van doctor aan de Universiteit van Amsterdam op gezag van de Rector Magnificus prof.dr. D.C. van den Boom ten overstaan van een door het college voor promoties ingestelde commissie, in het openbaar te verdedigen in de Aula der Universiteit op vrijdag 21 september 2012, te 13.00 uur door Pietro Galliani geboren te Bologna, Itali¨e. Promotor: Prof. dr. J. V¨a¨an¨anen Overige leden: Prof. dr. S. Abramsky Prof. dr. J.F.A.K. van Benthem Dr. A. Baltag Dr. U. Endriss Prof. dr. E. Gr¨adel Prof. dr. D.H.J. de Jongh Prof. dr. B. L¨owe Faculteit der Natuurwetenschappen, Wiskunde en Informatica to Dino and Franca Davoli thanks for everything v Contents Acknowledgments xi 1 Introduction 1 2 Logics of Imperfect Information 9 2.1 From Branching Quantifiers to Dependence Logic . 9 2.1.1 BranchingQuantifiers . 9 2.1.2 IndependenceFriendlyLogic . 11 2.1.3 DependenceLogic .. .. .. .. .. .. .. .. .. 13 2.2 DependenceLogicanditsExtensions. 14 2.2.1 TeamSemantics ....................... 14 2.2.2 SomeKnownResults.