Peirce's Arrow and Satzsystem: a Logical View for the Language- Game
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LINEAR ALGEBRA METHODS in COMBINATORICS László Babai
LINEAR ALGEBRA METHODS IN COMBINATORICS L´aszl´oBabai and P´eterFrankl Version 2.1∗ March 2020 ||||| ∗ Slight update of Version 2, 1992. ||||||||||||||||||||||| 1 c L´aszl´oBabai and P´eterFrankl. 1988, 1992, 2020. Preface Due perhaps to a recognition of the wide applicability of their elementary concepts and techniques, both combinatorics and linear algebra have gained increased representation in college mathematics curricula in recent decades. The combinatorial nature of the determinant expansion (and the related difficulty in teaching it) may hint at the plausibility of some link between the two areas. A more profound connection, the use of determinants in combinatorial enumeration goes back at least to the work of Kirchhoff in the middle of the 19th century on counting spanning trees in an electrical network. It is much less known, however, that quite apart from the theory of determinants, the elements of the theory of linear spaces has found striking applications to the theory of families of finite sets. With a mere knowledge of the concept of linear independence, unexpected connections can be made between algebra and combinatorics, thus greatly enhancing the impact of each subject on the student's perception of beauty and sense of coherence in mathematics. If these adjectives seem inflated, the reader is kindly invited to open the first chapter of the book, read the first page to the point where the first result is stated (\No more than 32 clubs can be formed in Oddtown"), and try to prove it before reading on. (The effect would, of course, be magnified if the title of this volume did not give away where to look for clues.) What we have said so far may suggest that the best place to present this material is a mathematics enhancement program for motivated high school students. -
UNIT-I Mathematical Logic Statements and Notations
UNIT-I Mathematical Logic Statements and notations: A proposition or statement is a declarative sentence that is either true or false (but not both). For instance, the following are propositions: “Paris is in France” (true), “London is in Denmark” (false), “2 < 4” (true), “4 = 7 (false)”. However the following are not propositions: “what is your name?” (this is a question), “do your homework” (this is a command), “this sentence is false” (neither true nor false), “x is an even number” (it depends on what x represents), “Socrates” (it is not even a sentence). The truth or falsehood of a proposition is called its truth value. Connectives: Connectives are used for making compound propositions. The main ones are the following (p and q represent given propositions): Name Represented Meaning Negation ¬p “not p” Conjunction p q “p and q” Disjunction p q “p or q (or both)” Exclusive Or p q “either p or q, but not both” Implication p ⊕ q “if p then q” Biconditional p q “p if and only if q” Truth Tables: Logical identity Logical identity is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is true and a value of false if its operand is false. The truth table for the logical identity operator is as follows: Logical Identity p p T T F F Logical negation Logical negation is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is false and a value of false if its operand is true. -
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. -
New Approaches for Memristive Logic Computations
Portland State University PDXScholar Dissertations and Theses Dissertations and Theses 6-6-2018 New Approaches for Memristive Logic Computations Muayad Jaafar Aljafar Portland State University Let us know how access to this document benefits ouy . Follow this and additional works at: https://pdxscholar.library.pdx.edu/open_access_etds Part of the Electrical and Computer Engineering Commons Recommended Citation Aljafar, Muayad Jaafar, "New Approaches for Memristive Logic Computations" (2018). Dissertations and Theses. Paper 4372. 10.15760/etd.6256 This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact [email protected]. New Approaches for Memristive Logic Computations by Muayad Jaafar Aljafar A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering Dissertation Committee: Marek A. Perkowski, Chair John M. Acken Xiaoyu Song Steven Bleiler Portland State University 2018 © 2018 Muayad Jaafar Aljafar Abstract Over the past five decades, exponential advances in device integration in microelectronics for memory and computation applications have been observed. These advances are closely related to miniaturization in integrated circuit technologies. However, this miniaturization is reaching the physical limit (i.e., the end of Moore’s Law). This miniaturization is also causing a dramatic problem of heat dissipation in integrated circuits. Additionally, approaching the physical limit of semiconductor devices in fabrication process increases the delay of moving data between computing and memory units hence decreasing the performance. The market requirements for faster computers with lower power consumption can be addressed by new emerging technologies such as memristors. -
The Limits of Logic: Going Beyond Reason in Theology, Faith, and Art”
1 Mark Boone Friday Symposium February 27, 2004 Dallas Baptist University “THE LIMITS OF LOGIC: GOING BEYOND REASON IN THEOLOGY, FAITH, AND ART” INTRODUCTION There is a problem with the way we think. A certain idea has infiltrated our minds, affecting our outlook on the universe. This idea is one of the most destructive of all ideas, for it has affected our conception of many things, including beauty, God, and his relationship with humankind. For the several centuries since the advent of the Modern era, Western civilization has had a problem with logic and human reason. The problem extends from philosophy to theology, art, and science; it affects the daily lives of us all, for the problem is with the way we think; we think that thinking is everything. The problem is that Western civilization has for a long time considered his own human reason to be the ultimate guide to finding truth. The results have been disastrous: at different times and in different places and among people of various different opinions and creeds, the Christian faith has been subsumed under reason, beauty has been thought to be something that a human being can fully understand, and God himself has been held subservient to the human mind. When some people began to realize that reason could not fully grasp all the mysteries of the universe, they did not successfully surrender the false doctrine that had elevated reason so high, and they began to say that it is acceptable for something contrary to the rules of logic to be good. 2 Yet it has not always been this way, and indeed it should not be this way. -
What Is Neologicism?∗
What is Neologicism? 2 by Zermelo-Fraenkel set theory (ZF). Mathematics, on this view, is just applied set theory. Recently, ‘neologicism’ has emerged, claiming to be a successor to the ∗ What is Neologicism? original project. It was shown to be (relatively) consistent this time and is claimed to be based on logic, or at least logic with analytic truths added. Bernard Linsky Edward N. Zalta However, we argue that there are a variety of positions that might prop- erly be called ‘neologicism’, all of which are in the vicinity of logicism. University of Alberta Stanford University Our project in this paper is to chart this terrain and judge which forms of neologicism succeed and which come closest to the original logicist goals. As we look back at logicism, we shall see that its failure is no longer such a clear-cut matter, nor is it clear-cut that the view which replaced it (that 1. Introduction mathematics is applied set theory) is the proper way to conceive of math- ematics. We shall be arguing for a new version of neologicism, which is Logicism is a thesis about the foundations of mathematics, roughly, that embodied by what we call third-order non-modal object theory. We hope mathematics is derivable from logic alone. It is now widely accepted that to show that this theory offers a version of neologicism that most closely the thesis is false and that the logicist program of the early 20th cen- approximates the main goals of the original logicist program. tury was unsuccessful. Frege’s (1893/1903) system was inconsistent and In the positive view we put forward in what follows, we adopt the dis- the Whitehead and Russell (1910–13) system was not thought to be logic, tinctions drawn in Shapiro 2004, between metaphysical foundations for given its axioms of infinity, reducibility, and choice. -
How to Draw the Right Conclusions Logical Pluralism Without Logical Normativism
How to Draw the Right Conclusions Logical Pluralism without Logical Normativism Christopher Blake-Turner A thesis submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree Master of Arts in the Department of Philosophy in the College of Arts and Sciences. Chapel Hill 2017 Approved by: Gillian Russell Matthew Kotzen John T. Roberts © 2017 Christopher Blake-Turner ALL RIGHTS RESERVED ii ABSTRACT Christopher Blake-Turner: How to Draw the Right Conclusions: Logical Pluralism without Logical Normativism. (Under the direction of Gillian Russell) Logical pluralism is the view that there is more than one relation of logical consequence. Roughly, there are many distinct logics and they’re equally good. Logical normativism is the view that logic is inherently normative. Roughly, consequence relations impose normative constraints on reasoners whether or not they are aiming at truth-preservation. It has widely been assumed that logical pluralism and logical normativism go together. This thesis questions that assumption. I defend an account of logical pluralism without logical normativism. I do so by replacing Beall and Restall’s normative constraint on consequence relations with a constraint concerning epistemic goals. As well as illuminating an important, unnoticed area of dialectical space, I show that distinguishing logical pluralism from logical normativism has two further benefits. First, it helps clarify what’s at stake in debates about pluralism. Second, it provides an elegant response to the most pressing challenge to logical pluralism: the normativity objection. iii ACKNOWLEDGEMENTS I am very grateful to Gillian Russell, Matt Kotzen, and John Roberts for encouraging discussion and thoughtful comments at many stages of this project. -
Inside This Issue …
The Bertrand Russell Society Fall 2013 Bulletin Inside this issue … New and familiar columns, Reviews by Trainer and Stone, Feature articles by Galaugher, Landini, and Turcon, And more. Number 148 ISSN 1547-0334 Information for New and Renewing Members Membership in the Society is $45 per year for individuals and $25 for students and those with limited incomes. Add $5.00 for couples in 2013 (add $10 in 2014). A lifetime membership is $1,000. In addition to the BRS Bulletin, membership includes a subscription to the scholar- ly journal, Russell: The Journal of Bertrand Russell Studies (published semi-annually by McMaster University), as well as other Society privi- leges, such as participation in the on-line BRS Forum, access to Russell-related resources, and eligibility to attend the Annual Meeting. Renewal dues should be paid by or on January 1st of each year. One’s membership status can be determined by going to http://russell.mcmaster.ca/brsmembers.htm . There one will also find convenient links to join or renew via PayPal. New and renewing members can also send a check or money order via traditional post to the treasurer (make it out to The Bertrand Russell Society). Send it to Michael Berumen, Treasurer, Bertrand Russell Society, 37155 Dickerson Run, Windsor, CO 80550. If a new member, please tell us a little about yourself beyond just your name (interests in Russell, profession, etc.). Include your postal address and email address, as well as your member status (i.e., regular, couple, student, limited income). If a renewing member, please let us know of any relevant changes in your contact information. -
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’.