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Vagueness Susanne Bobzien and Rosanna Keefe
Vagueness Susanne Bobzien and Rosanna Keefe I—SUSANNE BOBZIEN COLUMNAR HIGHER-ORDER VAGUENESS, OR VAGUENESS IS HIGHER-ORDER VAGUENESS Most descriptions of higher-order vagueness in terms of traditional modal logic generate so-called higher-order vagueness paradoxes. The one that doesn’t (Williamson’s) is problematic otherwise. Consequently, the present trend is toward more complex, non-standard theories. However, there is no need for this. In this paper I introduce a theory of higher-order vagueness that is paradox-free and can be expressed in the first-order extension of a normal modal system that is complete with respect to single-domain Kripke-frame semantics. This is the system qs4m+bf+fin. It corresponds to the class of transitive, reflexive and final frames. With borderlineness (unclarity, indeterminacy) defined logically as usual, it then follows that something is borderline precisely when it is higher-order borderline, and that a predicate is vague precisely when it is higher-order vague. Like Williamson’s, the theory proposed here has no clear borderline cas- es in Sorites sequences. I argue that objections that there must be clear bor- derline cases ensue from the confusion of two notions of borderlineness— one associated with genuine higher-order vagueness, the other employed to sort objects into categories—and that the higher-order vagueness para- doxes result from superimposing the second notion onto the first. Lastly, I address some further potential objections. This paper proposes that vagueness is higher-order vagueness. At first blush this may seem a very peculiar suggestion. It is my hope that the following pages will dispel the peculiarity and that the advantages of the proposed theory will speak for themselves. -
Couch's “Physical Alteration” Fallacy: Its Origins And
COUCH’S “PHYSICAL ALTERATION” FALLACY: ITS ORIGINS AND CONSEQUENCES Richard P. Lewis,∗ Lorelie S. Masters,∗∗ Scott D. Greenspan*** & Chris Kozak∗∗∗∗ I. INTRODUCTION Look at virtually any Covid-19 case favoring an insurer, and you will find a citation to Section 148:46 of Couch on Insurance.1 It is virtually ubiquitous: courts siding with insurers cite Couch as restating a “widely held rule” on the meaning of “physical loss or damage”—words typically in the trigger for property-insurance coverage, including business- income coverage. It has been cited, ad nauseam, as evidence of a general consensus that all property-insurance claims require some “distinct, demonstrable, physical alteration of the property.”2 Indeed, some pro-insurer decisions substitute a citation to this section for an actual analysis of the specific language before the court. Couch is generally recognized as a significant insurance treatise, and courts have cited it for almost a century.3 That ∗ Partner, ReedSmith LLP, New York. ∗∗ Partner, Hunton Andrews Kurth LLP, Washington D.C. *** Senior Counsel, Pillsbury Winthrop Shaw Pittman LLP, New York. ∗∗∗∗ Associate, Plews Shadley Racher & Braun, LLP, Indianapolis. 1 10A STEVEN PLITT, ET AL., COUCH ON INSURANCE 3D § 148:46. As shown below, some courts quote Couch itself, while others cite cases citing Couch and merely intone the “distinct, demonstrable, physical alteration” language without citing Couch itself. Couch First and Couch Second were published in hardback books (with pocket parts), in 1929 and 1959 respectively. As explained below (infra n.5), Couch 3d, a looseleaf, was first published in 1995.. 2 Id. (emphasis added); Oral Surgeons, P.C. -
A Guide to Dynamic Semantics
A Guide to Dynamic Semantics Paul Dekker ILLC/Department of Philosophy University of Amsterdam September 15, 2008 1 Introduction In this article we give an introduction to the idea and workings of dynamic se- mantics. We start with an overview of its historical background and motivation in this introductory section. An in-depth description of a paradigm version of dynamic semantics, Dynamic Predicate Logic, is given in section 2. In section 3 we discuss some applications of the dynamic kind of interpretation to illustrate how it can be taken to neatly account for a vast number of empirical phenom- ena. In section 4 more radical extensions of the basic paradigm are discussed, all of them systematically incorporating previously deemed pragmatic aspects of meaning in the interpretational system. Finally, a discussion of some more general, philosophical and theoretical, issues surrounding dynamic semantics can be found in section 5. 1.1 Theoretical Background What is dynamic semantics. Some people claim it embodies a radical new view of meaning, departing from the main logical paradigm as it has been prominent in most of the previous century. Meaning, or so it is said, is not some object, or some Platonic entity, but it is something that changes information states. A very simple-minded way of putting the idea is that people uses languages, they have cognitive states, and what language does is change these states. “Natu- ral languages are programming languages for minds”, it has been said. Others build on the assumption that natural language and its interpretation is not just concerned with describing an independently given world, but that there are lots of others things relevant in the interpretation of discourse, and lots of other functions of language than a merely descriptive one. -
Chapter 3 Describing Syntax and Semantics
Chapter 3 Describing Syntax and Semantics 3.1 Introduction 110 3.2 The General Problem of Describing Syntax 111 3.3 Formal Methods of Describing Syntax 113 3.4 Attribute Grammars 128 3.5 Describing the Meanings of Programs: Dynamic Semantics 134 Summary • Bibliographic Notes • Review Questions • Problem Set 155 CMPS401 Class Notes (Chap03) Page 1 / 25 Dr. Kuo-pao Yang Chapter 3 Describing Syntax and Semantics 3.1 Introduction 110 Syntax – the form of the expressions, statements, and program units Semantics - the meaning of the expressions, statements, and program units. Ex: the syntax of a Java while statement is while (boolean_expr) statement – The semantics of this statement form is that when the current value of the Boolean expression is true, the embedded statement is executed. – The form of a statement should strongly suggest what the statement is meant to accomplish. 3.2 The General Problem of Describing Syntax 111 A sentence or “statement” is a string of characters over some alphabet. The syntax rules of a language specify which strings of characters from the language’s alphabet are in the language. A language is a set of sentences. A lexeme is the lowest level syntactic unit of a language. It includes identifiers, literals, operators, and special word (e.g. *, sum, begin). A program is strings of lexemes. A token is a category of lexemes (e.g., identifier). An identifier is a token that have lexemes, or instances, such as sum and total. Ex: index = 2 * count + 17; Lexemes Tokens index identifier = equal_sign 2 int_literal * mult_op count identifier + plus_op 17 int_literal ; semicolon CMPS401 Class Notes (Chap03) Page 2 / 25 Dr. -
Philosophy 1
Philosophy 1 PHILOSOPHY VISITING FACULTY Doing philosophy means reasoning about questions that are of basic importance to the human experience—questions like, What is a good life? What is reality? Aileen Baek How are knowledge and understanding possible? What should we believe? BA, Yonsei University; MA, Yonsei University; PHD, Yonsei University What norms should govern our societies, our relationships, and our activities? Visiting Associate Professor of Philosophy; Visiting Scholar in Philosophy Philosophers critically analyze ideas and practices that often are assumed without reflection. Wesleyan’s philosophy faculty draws on multiple traditions of Alessandra Buccella inquiry, offering a wide variety of perspectives and methods for addressing these BA, Universitagrave; degli Studi di Milano; MA, Universitagrave; degli Studi di questions. Milano; MA, Universidad de Barcelona; PHD, University of Pittsburgh Visiting Assistant Professor of Philosophy William Paris BA, Susquehanna University; MA, New York University; PHD, Pennsylvania State FACULTY University Stephen Angle Frank B. Weeks Visiting Assistant Professor of Philosophy BA, Yale University; PHD, University of Michigan Mansfield Freeman Professor of East Asian Studies; Professor of Philosophy; Director, Center for Global Studies; Professor, East Asian Studies EMERITI Lori Gruen Brian C. Fay BA, University of Colorado Boulder; PHD, University of Colorado Boulder BA, Loyola Marymount University; DPHIL, Oxford University; MA, Oxford William Griffin Professor of Philosophy; Professor -
• Today: Language, Ambiguity, Vagueness, Fallacies
6060--207207 • Today: language, ambiguity, vagueness, fallacies LookingLooking atat LanguageLanguage • argument: involves the attempt of rational persuasion of one claim based on the evidence of other claims. • ways in which our uses of language can enhance or degrade the quality of arguments: Part I: types and uses of definitions. Part II: how the improper use of language degrades the "weight" of premises. AmbiguityAmbiguity andand VaguenessVagueness • Ambiguity: a word, term, phrase is ambiguous if it has 2 or more well-defined meaning and it is not clear which of these meanings is to be used. • Vagueness: a word, term, phrase is vague if it has more than one possible and not well-defined meaning and it is not clear which of these meanings is to be used. • [newspaper headline] Defendant Attacked by Dead Man with Knife. • Let's have lunch some time. • [from an ENGLISH dept memo] The secretary is available for reproduction services. • [headline] Father of 10 Shot Dead -- Mistaken for Rabbit • [headline] Woman Hurt While Cooking Her Husband's Dinner in a Horrible Manner • advertisement] Jack's Laundry. Leave your clothes here, ladies, and spend the afternoon having a good time. • [1986 headline] Soviet Bloc Heads Gather for Summit. • He fed her dog biscuits. • ambiguous • vague • ambiguous • ambiguous • ambiguous • ambiguous • ambiguous • ambiguous AndAnd now,now, fallaciesfallacies • What are fallacies or what does it mean to reason fallaciously? • Think in terms of the definition of argument … • Fallacies Involving Irrelevance • or, Fallacies of Diversion • or, Sleight-of-Hand Fallacies • We desperately need a nationalized health care program. Those who oppose it think that the private sector will take care of the needs of the poor. -
A Dynamic Semantics of Single-Wh and Multiple-Wh Questions*
Proceedings of SALT 30: 376–395, 2020 A dynamic semantics of single-wh and multiple-wh questions* Jakub Dotlacilˇ Floris Roelofsen Utrecht University University of Amsterdam Abstract We develop a uniform analysis of single-wh and multiple-wh questions couched in dynamic inquisitive semantics. The analysis captures the effects of number marking on which-phrases, and derives both mention-some and mention-all readings as well as an often neglected partial mention- some reading in multiple-wh questions. Keywords: question semantics, multiple-wh questions, mention-some, dynamic inquisitive semantics. 1 Introduction The goal of this paper is to develop an analysis of single-wh and multiple-wh questions in English satisfying the following desiderata: a) Uniformity. The interpretation of single-wh and multiple-wh questions is derived uniformly. The same mechanisms are operative in both types of questions. b) Mention-some vs mention-all. Mention-some and mention-all readings are derived in a principled way, including ‘partial mention-some readings’ in multiple-wh questions (mention-all w.r.t. one of the wh-phrases but mention-some w.r.t. the other wh-phrase). c) Number marking. The effects of number marking on wh-phrases are captured. In particular, singular which-phrases induce a uniqueness requirement in single-wh questions but do not block pair-list readings in multiple-wh questions. To our knowledge, no existing account fully satisfies these desiderata. While we cannot do justice to the rich literature on the topic, let us briefly mention a number of prominent proposals. Groenendijk & Stokhof(1984) provide a uniform account of single-wh and multiple-wh ques- tions, but their proposal does not successfully capture mention-some readings and the effects of number marking. -
Free Choice and Homogeneity
Semantics & Pragmatics Volume 12, Article 23, 2019 https://doi.org/10.3765/sp.12.23 This is an early access version of Goldstein, Simon. 2019. Free choice and homogeneity. Semantics and Prag- matics 12(23). 1–47. https://doi.org/10.3765/sp.12.23. This version will be replaced with the final typeset version in due course. Note that page numbers will change, so cite with caution. ©2019 Simon Goldstein This is an open-access article distributed under the terms of a Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/). early access Free choice and homogeneity* Simon Goldstein Australian Catholic University Abstract This paper develops a semantic solution to the puzzle of Free Choice permission. The paper begins with a battery of impossibility results showing that Free Choice is in tension with a variety of classical principles, including Disjunction Introduction and the Law of Excluded Middle. Most interestingly, Free Choice appears incompatible with a principle concerning the behavior of Free Choice under negation, Double Prohibition, which says that Mary can’t have soup or salad implies Mary can’t have soup and Mary can’t have salad. Alonso-Ovalle 2006 and others have appealed to Double Prohibition to motivate pragmatic accounts of Free Choice. Aher 2012, Aloni 2018, and others have developed semantic accounts of Free Choice that also explain Double Prohibition. This paper offers a new semantic analysis of Free Choice designed to handle the full range of impossibility results involved in Free Choice. The paper develops the hypothesis that Free Choice is a homogeneity effect. -
A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability and Statistics
FLORENTIN SMARANDACHE A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS (fourth edition) NL(A1 A2) = ( T1 ({1}T2) T2 ({1}T1) T1T2 ({1}T1) ({1}T2), I1 ({1}I2) I2 ({1}I1) I1 I2 ({1}I1) ({1} I2), F1 ({1}F2) F2 ({1} F1) F1 F2 ({1}F1) ({1}F2) ). NL(A1 A2) = ( {1}T1T1T2, {1}I1I1I2, {1}F1F1F2 ). NL(A1 A2) = ( ({1}T1T1T2) ({1}T2T1T2), ({1} I1 I1 I2) ({1}I2 I1 I2), ({1}F1F1 F2) ({1}F2F1 F2) ). ISBN 978-1-59973-080-6 American Research Press Rehoboth 1998, 2000, 2003, 2005 FLORENTIN SMARANDACHE A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS (fourth edition) NL(A1 A2) = ( T1 ({1}T2) T2 ({1}T1) T1T2 ({1}T1) ({1}T2), I1 ({1}I2) I2 ({1}I1) I1 I2 ({1}I1) ({1} I2), F1 ({1}F2) F2 ({1} F1) F1 F2 ({1}F1) ({1}F2) ). NL(A1 A2) = ( {1}T1T1T2, {1}I1I1I2, {1}F1F1F2 ). NL(A1 A2) = ( ({1}T1T1T2) ({1}T2T1T2), ({1} I1 I1 I2) ({1}I2 I1 I2), ({1}F1F1 F2) ({1}F2F1 F2) ). ISBN 978-1-59973-080-6 American Research Press Rehoboth 1998, 2000, 2003, 2005 1 Contents: Preface by C. Le: 3 0. Introduction: 9 1. Neutrosophy - a new branch of philosophy: 15 2. Neutrosophic Logic - a unifying field in logics: 90 3. Neutrosophic Set - a unifying field in sets: 125 4. Neutrosophic Probability - a generalization of classical and imprecise probabilities - and Neutrosophic Statistics: 129 5. Addenda: Definitions derived from Neutrosophics: 133 2 Preface to Neutrosophy and Neutrosophic Logic by C. -
Leibniz and the Sorites
Leibniz and the Sorites Samuel Levey, Dartmouth College Abstract The sorites paradox receives its most sophisticated early modem discussion in Leibniz's writings. In an important early document Lcibniz holds that vague terms have sharp boundaries of application, but soon thereafter he comes to adopt a form of nihilism about vagueness: and it later proves to be his settled view that vagueness results from semantical indeterminacy. The reason for this change of mind is unclear, and Leibniz does not ap pear to have any grounds for it. I suggest that his various treatments of the sorites do not spring from a single integrated view of vagueness, and that his early position reflects a mercenary interest in the sorites paradox-an interest to use the sorites to reach a conclu sion in metaphysics rather than to examine vagueness as a subject to be understood in its own right. The later nihilist stance rei1ects Leibniz's own (if undefended) attitude to wards vagueness. term that is vague in the philosopher's sense-such as 'rich', 'poor', A 'bald', 'heap' -characteristically admits of borderline cases, lacks a clearly defined extension, and is susceptible to the sorites paradox or "paradox of the heap.'" Take 'poor' for example. Someone with only a small amount of money may appear to be neither poor nor not poor, but on the borderline, even in the estimation of a competent language user fully informed about the amount of money the person has, the relative distributions of wealth in the community, and so on. The term 'poor' imposes no clear boundary between the poor and the not poor-it fails to single out a least number n such that anyone with at least 11 pennies is not poor while anyone with fewer than n pennies is poor-with cases seeming instead to fall into a spectrum across which poverty shades off gradually. -
Chapter 3 – Describing Syntax and Semantics CS-4337 Organization of Programming Languages
!" # Chapter 3 – Describing Syntax and Semantics CS-4337 Organization of Programming Languages Dr. Chris Irwin Davis Email: [email protected] Phone: (972) 883-3574 Office: ECSS 4.705 Chapter 3 Topics • Introduction • The General Problem of Describing Syntax • Formal Methods of Describing Syntax • Attribute Grammars • Describing the Meanings of Programs: Dynamic Semantics 1-2 Introduction •Syntax: the form or structure of the expressions, statements, and program units •Semantics: the meaning of the expressions, statements, and program units •Syntax and semantics provide a language’s definition – Users of a language definition •Other language designers •Implementers •Programmers (the users of the language) 1-3 The General Problem of Describing Syntax: Terminology •A sentence is a string of characters over some alphabet •A language is a set of sentences •A lexeme is the lowest level syntactic unit of a language (e.g., *, sum, begin) •A token is a category of lexemes (e.g., identifier) 1-4 Example: Lexemes and Tokens index = 2 * count + 17 Lexemes Tokens index identifier = equal_sign 2 int_literal * mult_op count identifier + plus_op 17 int_literal ; semicolon Formal Definition of Languages • Recognizers – A recognition device reads input strings over the alphabet of the language and decides whether the input strings belong to the language – Example: syntax analysis part of a compiler - Detailed discussion of syntax analysis appears in Chapter 4 • Generators – A device that generates sentences of a language – One can determine if the syntax of a particular sentence is syntactically correct by comparing it to the structure of the generator 1-5 Formal Methods of Describing Syntax •Formal language-generation mechanisms, usually called grammars, are commonly used to describe the syntax of programming languages. -
Scientific Method DRAFT
SCIENTIFIC METHOD John Staddon DRAFT Scientific Method DRAFT CONTENTS Preface 3 Chapter 1: Basic Science: Induction 6 Chapter 2: Experiment 21 Chapter 3: Null Hypothesis Statistical Testing 31 Chapter 4: Social Science: Psychology 51 Chapter 5: Social Science: Economics 67 Chapter 6: Behavioral Economics 84 Chapter 7: ‘Efficient’ markets 105 Chapter 8: Summing up 124 Acknowledgements 131 2 Scientific Method DRAFT Preface The most profound ideas cannot be understood except though the medium of examples. Plato, Philebus Most people assume that science can answer every question. Well, not every , perhaps, but every question except matters of faith or morals – although a few atheistical fundamentalists would include those things as well. How many people are killed or hurt by secondhand tobacco smoke each year? How should you discipline your children? What is the best diet? The questions are important and confident answers are forthcoming from experts. The confidence is often unjustified. There are limits to science, both practical and ethical. But for many social and biomedical questions, demand for simple answers tends to silence reservations. Flawed and even fallacious claims meet a need and get wide circulation. “Don’t know” doesn’t get a look in! When conclusive science is lacking, other influences take up the slack: faith, politics, suspicion of authority. Even when the facts are clear, many will ignore them if the issue is an emotional one – fear for their children’s safety, for example. The anti-vaccine crusade launched in a discredited study by British doctor Andrew Wakefield in 1998 is still alive in 2017, partly because most people do not understand the methods of science and no longer trust experts.