Denotational Semantics ______
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Two-Dimensionalism: Semantics and Metasemantics
Two-Dimensionalism: Semantics and Metasemantics YEUNG, \y,ang -C-hun ...:' . '",~ ... ~ .. A Thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Philosophy In Philosophy The Chinese University of Hong Kong January 2010 Abstract of thesis entitled: Two-Dimensionalism: Semantics and Metasemantics Submitted by YEUNG, Wang Chun for the degree of Master of Philosophy at the Chinese University of Hong Kong in July 2009 This ,thesis investigates problems surrounding the lively debate about how Kripke's examples of necessary a posteriori truths and contingent a priori truths should be explained. Two-dimensionalism is a recent development that offers a non-reductive analysis of such truths. The semantic interpretation of two-dimensionalism, proposed by Jackson and Chalmers, has certain 'descriptive' elements, which can be articulated in terms of the following three claims: (a) names and natural kind terms are reference-fixed by some associated properties, (b) these properties are known a priori by every competent speaker, and (c) these properties reflect the cognitive significance of sentences containing such terms. In this thesis, I argue against two arguments directed at such 'descriptive' elements, namely, The Argument from Ignorance and Error ('AlE'), and The Argument from Variability ('AV'). I thereby suggest that reference-fixing properties belong to the semantics of names and natural kind terms, and not to their metasemantics. Chapter 1 is a survey of some central notions related to the debate between descriptivism and direct reference theory, e.g. sense, reference, and rigidity. Chapter 2 outlines the two-dimensional approach and introduces the va~ieties of interpretations 11 of the two-dimensional framework. -
Denotational Semantics
Denotational Semantics CS 6520, Spring 2006 1 Denotations So far in class, we have studied operational semantics in depth. In operational semantics, we define a language by describing the way that it behaves. In a sense, no attempt is made to attach a “meaning” to terms, outside the way that they are evaluated. For example, the symbol ’elephant doesn’t mean anything in particular within the language; it’s up to a programmer to mentally associate meaning to the symbol while defining a program useful for zookeeppers. Similarly, the definition of a sort function has no inherent meaning in the operational view outside of a particular program. Nevertheless, the programmer knows that sort manipulates lists in a useful way: it makes animals in a list easier for a zookeeper to find. In denotational semantics, we define a language by assigning a mathematical meaning to functions; i.e., we say that each expression denotes a particular mathematical object. We might say, for example, that a sort implementation denotes the mathematical sort function, which has certain properties independent of the programming language used to implement it. In other words, operational semantics defines evaluation by sourceExpression1 −→ sourceExpression2 whereas denotational semantics defines evaluation by means means sourceExpression1 → mathematicalEntity1 = mathematicalEntity2 ← sourceExpression2 One advantage of the denotational approach is that we can exploit existing theories by mapping source expressions to mathematical objects in the theory. The denotation of expressions in a language is typically defined using a structurally-recursive definition over expressions. By convention, if e is a source expression, then [[e]] means “the denotation of e”, or “the mathematical object represented by e”. -
Denotation and Connotation in Hillary Clinton and Donald Trump: Discourse Analysis of the 2016 Presidential Debates
UNIVERSIDAD PONTIFICIA COMILLAS Facultad de Ciencias Humanas y Sociales Degree in Translation and Interpreting Final Degree Project Denotation and Connotation in Hillary Clinton and Donald Trump: Discourse analysis of the 2016 presidential debates Student: Markel Lezana Escribano Director: Dr Susan Jeffrey Campbell Madrid, 8th June 2017 Index List of Tables…………………………………………………………………………….i 1. Introduction .............................................................................................................. 3 2. Theoretical Framework............................................................................................. 5 2.1 Semantics ................................................................................................................ 5 2.2 Discourse Analysis ................................................................................................. 9 2.2.1 Functional Discourse Analysis ........................................................................ 9 2.2.2 Critical Discourse Analysis ........................................................................... 10 2.2.3 Political Discourse Analysis .......................................................................... 10 2.3 Pragmatics ............................................................................................................ 10 2.4 Tools of Analysis .................................................................................................. 11 2.4.1 Functions of Language ................................................................................. -
Invitation to Semantics
Varieties of meaning http://www-rohan.sdsu.edu/~gawron/semantics Jean Mark Gawron San Diego State University, Department of Linguistics 2012-01-25 Ling 525 Jean Mark Gawron ( SDSU ) Gawron: Semantics intro 2012-01-25 Ling 525 1 / 59 Outline 1 Semantics and pragmatics 2 Lexical vs. structural meaning 3 Sense and denotation 4 Determining denotations 5 Sentence denotations 6 Intensions and possible worlds 7 Conclusion Jean Mark Gawron ( SDSU ) Gawron: Semantics intro 2012-01-25 Ling 525 2 / 59 Outline 1 Semantics and pragmatics 2 Lexical vs. structural meaning 3 Sense and denotation 4 Determining denotations 5 Sentence denotations 6 Intensions and possible worlds 7 Conclusion Jean Mark Gawron ( SDSU ) Gawron: Semantics intro 2012-01-25 Ling 525 3 / 59 What is semantics? Definition Semantics Semantics is the study of the meaning of linguistic forms, what the words and the syntax contribute to what is communicated. Jean Mark Gawron ( SDSU ) Gawron: Semantics intro 2012-01-25 Ling 525 4 / 59 Literal meaning We call the meaning of a linguistic form its literal meaning. Sentence Literal meaning I forgot the paper Past forget(I, the paper) At some time in the past, someone forgets something [forget( , )] The speaker is the someone. The paper is the something. Each part of the sentence contributes something to this literal meaning. I the speaker of the utterance the paper an object appropriately describable as a paper forget the relation that holds between an indi- vidual and something they forget Past Tense (ed) the relation holds in the past Jean Mark Gawron ( SDSU ) Gawron: Semantics intro 2012-01-25 Ling 525 5 / 59 Semantics and pragmatics Literal meaning excludes a lot of what might actually be communicated on a particular occasion of utterance. -
Operational Semantics with Hierarchical Abstract Syntax Graphs*
Operational Semantics with Hierarchical Abstract Syntax Graphs* Dan R. Ghica Huawei Research, Edinburgh University of Birmingham, UK This is a motivating tutorial introduction to a semantic analysis of programming languages using a graphical language as the representation of terms, and graph rewriting as a representation of reduc- tion rules. We show how the graphical language automatically incorporates desirable features, such as a-equivalence and how it can describe pure computation, imperative store, and control features in a uniform framework. The graph semantics combines some of the best features of structural oper- ational semantics and abstract machines, while offering powerful new methods for reasoning about contextual equivalence. All technical details are available in an extended technical report by Muroya and the author [11] and in Muroya’s doctoral dissertation [21]. 1 Hierarchical abstract syntax graphs Before proceeding with the business of analysing and transforming the source code of a program, a com- piler first parses the input text into a sequence of atoms, the lexemes, and then assembles them into a tree, the Abstract Syntax Tree (AST), which corresponds to its grammatical structure. The reason for preferring the AST to raw text or a sequence of lexemes is quite obvious. The structure of the AST incor- porates most of the information needed for the following stage of compilation, in particular identifying operations as nodes in the tree and operands as their branches. This makes the AST algorithmically well suited for its purpose. Conversely, the AST excludes irrelevant lexemes, such as separators (white-space, commas, semicolons) and aggregators (brackets, braces), by making them implicit in the tree-like struc- ture. -
How to Define Theoretical Terms Author(S): David Lewis Reviewed Work(S): Source: the Journal of Philosophy, Vol
Journal of Philosophy, Inc. How to Define Theoretical Terms Author(s): David Lewis Reviewed work(s): Source: The Journal of Philosophy, Vol. 67, No. 13 (Jul. 9, 1970), pp. 427-446 Published by: Journal of Philosophy, Inc. Stable URL: http://www.jstor.org/stable/2023861 . Accessed: 14/10/2012 20:19 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Journal of Philosophy, Inc. is collaborating with JSTOR to digitize, preserve and extend access to The Journal of Philosophy. http://www.jstor.org THE JOURNAL OF PHILOSOPHY VOLUME LXVII, NO. I3, JULY 9, 19-0 HOW TO DEFINE THEORETICAL TERMS M OST philosophers of science agree that, when a newly proposed scientific theory introduces new terms, we usually cannot define the new terms using only the old terms we understood beforehand. On the contrary, I contend that there is a general method for defining the newly introduced theo- retical terms. Most philosophers of science also agree that, in order to reduce one scientific theory to another, we need to posit bridge laws: new laws, independent of the reducing theory, which serve to identify phenomena described in terms of the reduced theory with phe nomena described in terms of the reducing theory. -
A Denotational Semantics Approach to Functional and Logic Programming
A Denotational Semantics Approach to Functional and Logic Programming TR89-030 August, 1989 Frank S.K. Silbermann The University of North Carolina at Chapel Hill Department of Computer Science CB#3175, Sitterson Hall Chapel Hill, NC 27599-3175 UNC is an Equal OpportunityjAfflrmative Action Institution. A Denotational Semantics Approach to Functional and Logic Programming by FrankS. K. Silbermann A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in par tial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Chapel Hill 1989 @1989 Frank S. K. Silbermann ALL RIGHTS RESERVED 11 FRANK STEVEN KENT SILBERMANN. A Denotational Semantics Approach to Functional and Logic Programming (Under the direction of Bharat Jayaraman.) ABSTRACT This dissertation addresses the problem of incorporating into lazy higher-order functional programming the relational programming capability of Horn logic. The language design is based on set abstraction, a feature whose denotational semantics has until now not been rigorously defined. A novel approach is taken in constructing an operational semantics directly from the denotational description. The main results of this dissertation are: (i) Relative set abstraction can combine lazy higher-order functional program ming with not only first-order Horn logic, but also with a useful subset of higher order Horn logic. Sets, as well as functions, can be treated as first-class objects. (ii) Angelic powerdomains provide the semantic foundation for relative set ab straction. (iii) The computation rule appropriate for this language is a modified parallel outermost, rather than the more familiar left-most rule. (iv) Optimizations incorporating ideas from narrowing and resolution greatly improve the efficiency of the interpreter, while maintaining correctness. -
Frege: “On Sense and Denotation”
Frege: “On Sense and Denotation” TERMIOLOGY • ‘On Sense and Nominatum’ is a quirky translation of ‘ Über Sinn und Bedeutung’. ‘On Sense and Denotation’ is the usual translation. • ‘Sameness’ is misleading in stating the initial puzzle. As Frege’s n.1 makes clear, the puzzle is about identity . THE PUZZLE What is identity? Is it a relation? If it is a relation, what are the relata? Frege considers two possibilities: 1. A relation between objects. 2. A relation between names (signs). (1) leads to a puzzle; (2) is the alternative Frege once preferred, but now rejects. The puzzle is this: if identity is a relation between objects, it must be a relation between a thing and itself . But everything is identical to itself, and so it is trivial to assert that a thing is identical to itself. Hence, every statement of identity should be analytic and knowable a priori . The “cognitive significance” of ‘ a = b ’ would thus turn out to be the same as that of ‘a = a’. In both cases one is asserting, of a single object, that it is identical to itself. Yet, it seems intuitively clear that these statements have different cognitive significance: “… sentences of the form a = b often contain very valuable extensions of our knowledge and cannot always be justified in an a priori manner” (p. 217). METALIGUISTIC SOLUTIO REJECTED In his Begriffschrift (1879), Frege proposed a metalinguistic solution: identity is a relation between signs. ‘ a = b’ thus asserts a relation between the signs ‘ a’ and ‘ b’. Presumably, the relation asserted would be being co-referential . -
Denotational Semantics
Denotational Semantics 8–12 lectures for Part II CST 2010/11 Marcelo Fiore Course web page: http://www.cl.cam.ac.uk/teaching/1011/DenotSem/ 1 Lecture 1 Introduction 2 What is this course about? • General area. Formal methods: Mathematical techniques for the specification, development, and verification of software and hardware systems. • Specific area. Formal semantics: Mathematical theories for ascribing meanings to computer languages. 3 Why do we care? • Rigour. specification of programming languages . justification of program transformations • Insight. generalisations of notions computability . higher-order functions ... data structures 4 • Feedback into language design. continuations . monads • Reasoning principles. Scott induction . Logical relations . Co-induction 5 Styles of formal semantics Operational. Meanings for program phrases defined in terms of the steps of computation they can take during program execution. Axiomatic. Meanings for program phrases defined indirectly via the ax- ioms and rules of some logic of program properties. Denotational. Concerned with giving mathematical models of programming languages. Meanings for program phrases defined abstractly as elements of some suitable mathematical structure. 6 Basic idea of denotational semantics [[−]] Syntax −→ Semantics Recursive program → Partial recursive function Boolean circuit → Boolean function P → [[P ]] Concerns: • Abstract models (i.e. implementation/machine independent). Lectures 2, 3 and 4. • Compositionality. Lectures 5 and 6. • Relationship to computation (e.g. operational semantics). Lectures 7 and 8. 7 Characteristic features of a denotational semantics • Each phrase (= part of a program), P , is given a denotation, [[P ]] — a mathematical object representing the contribution of P to the meaning of any complete program in which it occurs. • The denotation of a phrase is determined just by the denotations of its subphrases (one says that the semantics is compositional). -
Mechanized Semantics of Simple Imperative Programming Constructs*
App eared as technical rep ort UIB Universitat Ulm Fakultat fur Informatik Dec Mechanized Semantics of Simple Imp erative Programming Constructs H Pfeifer A Dold F W von Henke H Rue Abt Kunstliche Intelligenz Fakultat fur Informatik Universitat Ulm D Ulm verifixkiinformatikuniulmde Abstract In this pap er a uniform formalization in PVS of various kinds of semantics of imp er ative programming language constructs is presented Based on a comprehensivede velopment of xed p oint theory the denotational semantics of elementary constructs of imp erative programming languages are dened as state transformers These state transformers induce corresp onding predicate transformers providing a means to for mally derivebothaweakest lib eral precondition semantics and an axiomatic semantics in the style of Hoare Moreover algebraic laws as used in renement calculus pro ofs are validated at the level of predicate transformers Simple reformulations of the state transformer semantics yield b oth a continuationstyle semantics and rules similar to those used in Structural Op erational Semantics This formalization provides the foundations on which formal sp ecication of program ming languages and mechanical verication of compilation steps are carried out within the Verix pro ject This research has b een funded in part by the Deutsche Forschungsgemeinschaft DFG under pro ject Verix Contents Intro duction Related Work Overview A brief description of PVS Mechanizing Domain -
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. -
Frege and the Logic of Sense and Reference
FREGE AND THE LOGIC OF SENSE AND REFERENCE Kevin C. Klement Routledge New York & London Published in 2002 by Routledge 29 West 35th Street New York, NY 10001 Published in Great Britain by Routledge 11 New Fetter Lane London EC4P 4EE Routledge is an imprint of the Taylor & Francis Group Printed in the United States of America on acid-free paper. Copyright © 2002 by Kevin C. Klement All rights reserved. No part of this book may be reprinted or reproduced or utilized in any form or by any electronic, mechanical or other means, now known or hereafter invented, including photocopying and recording, or in any infomration storage or retrieval system, without permission in writing from the publisher. 10 9 8 7 6 5 4 3 2 1 Library of Congress Cataloging-in-Publication Data Klement, Kevin C., 1974– Frege and the logic of sense and reference / by Kevin Klement. p. cm — (Studies in philosophy) Includes bibliographical references and index ISBN 0-415-93790-6 1. Frege, Gottlob, 1848–1925. 2. Sense (Philosophy) 3. Reference (Philosophy) I. Title II. Studies in philosophy (New York, N. Y.) B3245.F24 K54 2001 12'.68'092—dc21 2001048169 Contents Page Preface ix Abbreviations xiii 1. The Need for a Logical Calculus for the Theory of Sinn and Bedeutung 3 Introduction 3 Frege’s Project: Logicism and the Notion of Begriffsschrift 4 The Theory of Sinn and Bedeutung 8 The Limitations of the Begriffsschrift 14 Filling the Gap 21 2. The Logic of the Grundgesetze 25 Logical Language and the Content of Logic 25 Functionality and Predication 28 Quantifiers and Gothic Letters 32 Roman Letters: An Alternative Notation for Generality 38 Value-Ranges and Extensions of Concepts 42 The Syntactic Rules of the Begriffsschrift 44 The Axiomatization of Frege’s System 49 Responses to the Paradox 56 v vi Contents 3.