Philosophy 7 Truth Function Unit 6 UNIT
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Expressive Completeness
Truth-Functional Completeness 1. A set of truth-functional operators is said to be truth-functionally complete (or expressively adequate) just in case one can take any truth-function whatsoever, and construct a formula using only operators from that set, which represents that truth-function. In what follows, we will discuss how to establish the truth-functional completeness of various sets of truth-functional operators. 2. Let us suppose that we have an arbitrary n-place truth-function. Its truth table representation will have 2n rows, some true and some false. Here, for example, is the truth table representation of some 3- place truth function, which we shall call $: Φ ψ χ $ T T T T T T F T T F T F T F F T F T T F F T F T F F T F F F F T This truth-function $ is true on 5 rows (the first, second, fourth, sixth, and eighth), and false on the remaining 3 (the third, fifth, and seventh). 3. Now consider the following procedure: For every row on which this function is true, construct the conjunctive representation of that row – the extended conjunction consisting of all the atomic sentences that are true on that row and the negations of all the atomic sentences that are false on that row. In the example above, the conjunctive representations of the true rows are as follows (ignoring some extraneous parentheses): Row 1: (P&Q&R) Row 2: (P&Q&~R) Row 4: (P&~Q&~R) Row 6: (~P&Q&~R) Row 8: (~P&~Q&~R) And now think about the formula that is disjunction of all these extended conjunctions, a formula that basically is a disjunction of all the rows that are true, which in this case would be [(Row 1) v (Row 2) v (Row 4) v (Row6) v (Row 8)] Or, [(P&Q&R) v (P&Q&~R) v (P&~Q&~R) v (P&~Q&~R) v (~P&Q&~R) v (~P&~Q&~R)] 4. -
Which Quantifiers Are Logical? a Combined Semantical and Inferential Criterion Solomon Feferman1
Which Quantifiers are Logical? A combined semantical and inferential criterion Solomon Feferman1 Abstract. The aim of logic is to characterize the forms of reasoning that lead invariably from true sentences to true sentences, independently of the subject matter; thus its concerns combine semantical and inferential notions in an essential way. Up to now most proposed characterizations of logicality of sentence generating operations have been given either in semantical or inferential terms. This paper offers a combined semantical and inferential criterion for logicality (improving one originally proposed by Jeffery Zucker) and shows that any quantifier that is to be counted as logical according to that criterion is definable in first order logic. The aim of logic is to characterize the forms of reasoning that lead invariably from true sentences to true sentences, independently of the subject matter. The sentences involved are analyzed according to their logical (as opposed to grammatical) structure, i.e. how they are compounded from their parts by means of certain operations on propositions and predicates, of which the familiar ones are the connectives and quantifiers of first order logic. To spell this out in general, one must explain how the truth of compounds under given operations is determined by the truth of the parts, and characterize those forms of rules of inference for the given operations that insure preservation of truth. The so-called problem of “logical constants” (Gomez-Torrente 2002) is to determine all such operations. -
The Nature of Logical Constants
Aporia vol. 27 no. 1—2017 The Nature of Logical Constants LAUREN RICHARDSON haracterizing the distinction between the “logical” and “non-logical” expressions of a language proves a challenging task, and one Cwith significant implications for the nature and scope of logic itself. It is often claimed that logical truths are statements that are “true by virtue of form,” and, likewise, that arguments are logically valid because of their respective “forms,” not because of their contents (Sider 2).1 Take, for example, a straightforward piece of reasoning: (P1) Maria is in Berlin or she is in Vienna. (P2) Maria is not in Berlin. (C) Maria is in Vienna. If this argument is valid—which, of course, in classical logic, it is—then it is typically held to be valid because of the structure of the argument and not because of certain material facts about the world. So it seems as if we should 1 Contrast the idea of truth preservation by virtue of form with the idea of an argument that is truth- preserving by virtue of the meaning of certain terms: (P1*):Nick is a bachelor. (C*): Nick is an unmarried man. We might think that the truth of (P1*) guarantees the truth of (C*), but it is not by virtue of the form of the argument; it is by virtue of the meaning of the expressions “bachelor” and “unmarried man.” Lauren Richardson is studying philosophy at the University of Chicago and will graduate in 2018. Her philosophical interests include philosophy of language, logic, metaethics, and feminism. After graduation, Lauren intends to pursue a graduate degree in philosophy. -
Understanding the Logical Constants and Dispositions
Baltic International Yearbook of Cognition, Logic and Communication Volume 5 MEANING, UNDERSTANDING AND KNOWLEDGE Article 2 2009 Understanding the Logical Constants and Dispositions Corine Besson St Hugh's College, Oxford Follow this and additional works at: https://newprairiepress.org/biyclc This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. Recommended Citation Besson, Corine (2009) "Understanding the Logical Constants and Dispositions," Baltic International Yearbook of Cognition, Logic and Communication: Vol. 5. https://doi.org/10.4148/biyclc.v5i0.279 This Proceeding of the Symposium for Cognition, Logic and Communication is brought to you for free and open access by the Conferences at New Prairie Press. It has been accepted for inclusion in Baltic International Yearbook of Cognition, Logic and Communication by an authorized administrator of New Prairie Press. For more information, please contact [email protected]. Understanding the Logical Constants and Dispositions 2 The Baltic International Yearbook of not explore here how that explanatory connection might be accounted Cognition, Logic and Communication for. But however it is accounted for, it seems that the following min- imal constraint should be met by any account of competence with an October 2010 Volume 5: Meaning, Understanding and Knowledge expression: pages 1-24 DOI: 10.4148/biyclc.v5i0.279 (CT) An account of speakers’ understanding of an expres- sion should be consistent with their correct performances CORINE BESSON with that expression. St Hugh’s College, Oxford This is a weak constraint, since the connection between competence and performance is much tighter. But this will suffice for the purposes UNDERSTANDING THE LOGICAL CONSTANTS AND of this paper. -
The Constituents of the Propositions of Logic Kevin C
10 The Constituents of the Propositions of Logic Kevin C. Klement 1 Introduction Many founders of modern logic—Frege and Russell among them—bemoan- ed the tendency, still found in most textbook treatments, to define the subject matter of logic as “the laws of thought” or “the principles of inference”. Such descriptions fail to capture logic’s objective nature; they make it too dependent on human psychology or linguistic practices. It is one thing to identify what logic is not about. It is another to say what it is about. I tell my students that logic studies relationships between the truth-values of propositions that hold in virtue of their form. But even this characterization leaves me uneasy. I don’t really know what a “form” is, and even worse perhaps, I don’t really know what these “propositions” are that have these forms. If propositions are considered merely as sentences or linguistic assertions, the definition does not seem like much of an improvement over the psychological definitions. Language is a human invention, but logic is more than that, or so it seems. It is perhaps forgiveable then that at certain times Russell would not have been prepared to give a very good answer to the question “What is Logic?”, such as when he attempted, but failed, to compose a paper with that title in October 1912. Given that Russell had recently completed Principia Mathematica, a work alleging to establish the reducibility of mathematics to logic, one might think this overly generous. What does the claim that mathematics reduces to logic come to if we cannot independently speci- Published in Acquaintance, Knowledge and Logic: New Essays on Bertrand Russell’s Problems of Philosophy, edited by Donovan Wishon and Bernard Linsky. -
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. -
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. -
TMM023- DISCRETE MATHEMATICS (March 2021)
TMM023- DISCRETE MATHEMATICS (March 2021) Typical Range: 3-4 Semester Hours A course in Discrete Mathematics specializes in the application of mathematics for students interested in information technology, computer science, and related fields. This college-level mathematics course introduces students to the logic and mathematical structures required in these fields of interest. TMM023 Discrete Mathematics introduces mathematical reasoning and several topics from discrete mathematics that underlie, inform, or elucidate the development, study, and practice of related fields. Topics include logic, proof techniques, set theory, functions and relations, counting and probability, elementary number theory, graphs and tree theory, base-n arithmetic, and Boolean algebra. To qualify for TMM023 (Discrete Mathematics), a course must achieve all the following essential learning outcomes listed in this document (marked with an asterisk). In order to provide flexibility, institutions should also include the non-essential outcomes that are most appropriate for their course. It is up to individual institutions to determine if further adaptation of additional course learning outcomes beyond the ones in this document are necessary to support their students’ needs. In addition, individual institutions will determine their own level of student engagement and manner of implementation. These guidelines simply seek to foster thinking in this direction. 1. Formal Logic – Successful discrete mathematics students are able to construct and analyze arguments with logical precision. These students are able to apply rules from logical reasoning both symbolically and in the context of everyday language and are able to translate between them. The successful Discrete Mathematics student can: 1.1. Propositional Logic: 1.1a. Translate English sentences into propositional logic notation and vice-versa. -
Form and Content: an Introduction to Formal Logic
Connecticut College Digital Commons @ Connecticut College Open Educational Resources 2020 Form and Content: An Introduction to Formal Logic Derek D. Turner Connecticut College, [email protected] Follow this and additional works at: https://digitalcommons.conncoll.edu/oer Recommended Citation Turner, Derek D., "Form and Content: An Introduction to Formal Logic" (2020). Open Educational Resources. 1. https://digitalcommons.conncoll.edu/oer/1 This Book is brought to you for free and open access by Digital Commons @ Connecticut College. It has been accepted for inclusion in Open Educational Resources by an authorized administrator of Digital Commons @ Connecticut College. For more information, please contact [email protected]. The views expressed in this paper are solely those of the author. Form & Content Form and Content An Introduction to Formal Logic Derek Turner Connecticut College 2020 Susanne K. Langer. This bust is in Shain Library at Connecticut College, New London, CT. Photo by the author. 1 Form & Content ©2020 Derek D. Turner This work is published in 2020 under a Creative Commons Attribution- NonCommercial-NoDerivatives 4.0 International License. You may share this text in any format or medium. You may not use it for commercial purposes. If you share it, you must give appropriate credit. If you remix, transform, add to, or modify the text in any way, you may not then redistribute the modified text. 2 Form & Content A Note to Students For many years, I had relied on one of the standard popular logic textbooks for my introductory formal logic course at Connecticut College. It is a perfectly good book, used in countless logic classes across the country. -
Section 6.2 Propositional Calculus Propositional Calculus Is the Language of Propositions (Statements That Are True Or False)
Section 6.2 Propositional Calculus Propositional calculus is the language of propositions (statements that are true or false). We represent propositions by formulas called well-formed formulas (wffs) that are constructed from an alphabet consisting of Truth symbols: T (or True) and F (or False) Propositional variables: uppercase letters. Connectives (operators): ¬ (not, negation) ∧ (and, conjunction) ∨ (or, disjunction) → (conditional, implication) Parentheses symbols: ( and ). A wff is either a truth symbol, a propositional variable, or if V and W are wffs, then so are ¬ V, V ∧ W, V ∨ W, V → W, and (W). Example. The expression A ¬ B is not a wff. But each of the following three expressions is a wff: A ∧ B → C, (A ∧ B) → C, and A ∧ (B → C). Truth Tables. The connectives are defined by the following truth tables. P Q ¬P P "Q P #Q P $ Q T T F T T T T F F F T F F T T F T T F F T F F T 1 ! Semantics The meaning of T (or True) is true and the meaning of F (or False) is false. The meaning of any other wff is its truth table, where in the absence of parentheses, we define the hierarchy of evaluation to be ¬, ∧, ∨, →, and we assume ∧, ∨, → are left associative. Examples. ¬ A ∧ B means (¬ A) ∧ B A ∨ B ∧ C means A ∨ (B ∧ C) A ∧ B → C means (A ∧ B) → C A → B → C means (A → B) → C. Three Classes A Tautology is a wff for which all truth table values are T. A Contradiction is a wff for which all truth table values are F. -
On Truth-Functionality
ZU064-05-FPR truth˙funct˙full˙abs˙final 1 September 2009 11:47 Under consideration for publication in Review of Symbolic Logic 1 ON TRUTH-FUNCTIONALITY DANIEL J. HILL & STEPHEN K. McLEOD University of Liverpool (e-mail: [email protected]; [email protected]) Abstract Benjamin Schnieder has argued that several traditional definitions of truth-functionality fail to cap- ture a central intuition informal characterizations of the notion often capture. The intuition is that the truth-value of a sentence that employs a truth-functional operator depends upon the truth-values of the sentences upon which the operator operates. Schnieder proposes an alternative definition of truth-functionality that is designed to accommodate this intuition. We argue that one traditional definition of ‘truth-functionality’ is immune from the counter-examples that Schnieder proposes and is preferable to Schnieder’s alternative. 1 Schnieder on ‘standard’ accounts of truth-functionality. Quine (1982: 8), quoted by Schnieder (2008: 64), characterizes truth-functionality as fol- lows: ‘a way of forming compound statements from component statements is truth-functional if the compounds thus formed always have matching truth-value as long as their compo- nents have matching truth-value’. Schnieder (2008: 65) writes that on ‘Quine’s characterisation . an operator z [is] truth- functional iff . the truth-value of a complex sentence formed by combining z with the appropriate number of sentences is the value of a function of the truth-values of those sentences’. According to Schnieder (2008: 65), the trouble with this ‘simple proposal’, is that it makes ‘the truth-functionality of some operators dependent upon arbitrary contingent facts’. -
1.2 Truth and Sentential Logic
Chapter 1 I Mathematical Logic 13 69. Assume that B has m left parentheses and m right parentheses and that C has n left parentheses and n right parentheses. How many left parentheses appear in ( B ∧ C)? How many right parentheses appear in ( B ∧ C)? 70. Following the model given in exercise 69, argue that ( B ∨ C), ( B → C), (B ↔ C) each have the same number of left and right parentheses. Conclude from exercises 67–70 that any sentence has the same number of left and right parentheses. 1.2 Truth and Sentential Logic Mathematicians seek to discover and to understand mathematical truth. The five logical connectives of sentential logic play an important role in determining whether a mathematical statement is true or false. Specifically, the truth value of a compound sentence is determined by the interaction of the truth value of its component sentences and the logical connectives linking these components. In this section, we learn a truth table algorithm for computing all possible truth values of any sentence from sentential logic. In mathematics we generally assume that every sentence has one of two truth values: true or false . As we discuss in later chapters, the reality of mathematics is far less clear; some sentences are true, some are false, some are neither, while some are unknown. Many questions can be considered in one of the various interesting and reasonable multi-valued logics. For example, philosophers and physicists have successfully utilized multi-valued logics with truth values “true,” “false,” and “unknown” to model and analyze diverse real-world questions.