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Framing Cyclic Revolutionary Emergence of Opposing Symbols of Identity Eppur Si Muove: Biomimetic Embedding of N-Tuple Helices in Spherical Polyhedra - /
Alternative view of segmented documents via Kairos 23 October 2017 | Draft Framing Cyclic Revolutionary Emergence of Opposing Symbols of Identity Eppur si muove: Biomimetic embedding of N-tuple helices in spherical polyhedra - / - Introduction Symbolic stars vs Strategic pillars; Polyhedra vs Helices; Logic vs Comprehension? Dynamic bonding patterns in n-tuple helices engendering n-fold rotating symbols Embedding the triple helix in a spherical octahedron Embedding the quadruple helix in a spherical cube Embedding the quintuple helix in a spherical dodecahedron and a Pentagramma Mirificum Embedding six-fold, eight-fold and ten-fold helices in appropriately encircled polyhedra Embedding twelve-fold, eleven-fold, nine-fold and seven-fold helices in appropriately encircled polyhedra Neglected recognition of logical patterns -- especially of opposition Dynamic relationship between polyhedra engendered by circles -- variously implying forms of unity Symbol rotation as dynamic essential to engaging with value-inversion References Introduction The contrast to the geocentric model of the solar system was framed by the Italian mathematician, physicist and philosopher Galileo Galilei (1564-1642). His much-cited phrase, " And yet it moves" (E pur si muove or Eppur si muove) was allegedly pronounced in 1633 when he was forced to recant his claims that the Earth moves around the immovable Sun rather than the converse -- known as the Galileo affair. Such a shift in perspective might usefully inspire the recognition that the stasis attributed so widely to logos and other much-valued cultural and heraldic symbols obscures the manner in which they imply a fundamental cognitive dynamic. Cultural symbols fundamental to the identity of a group might then be understood as variously moving and transforming in ways which currently elude comprehension. -
Logic and Artificial Intelligence
Logic and Artificial Intelligence: Divorced,StillMarried,Separated...?∗ Selmer Bringsjord//David A. Ferrucci February 13, 1998 Abstract Though it’s difficult to agree on the exact date of their union, logic and artificial intelligence (AI) were married by the late 1950s, and, at least during their honeymoon, were happily united. What connubial permu- tation do logic and AI find themselves in now? Are they still (happily) married? Are they divorced? Or are they only separated, both still keep- ing alive the promise of a future in which the old magic is rekindled? This paper is an attempt to answer these questions via a review of six books. Encapsulated, our answer is that (i) logic and AI, despite tabloidish re- ports to the contrary, still enjoy matrimonial bliss, and (ii) only their future robotic offspring (as opposed to the children of connectionist AI) will mark real progress in the attempt to understand cognition. 1 The Logic–AI Marriage Though it’s difficult to agree on the exact date of their union, logic and artificial intelligence (AI) were married by the late 1950s, and, at least during their honeymoon, were happily married. But what connubial permutation do logic and AI find themselves in now? Are they still (happily) married? Are they divorced? Or are they only separated, both still keeping alive the promise of a future in which the old magic is rekindled? This paper is an attempt to answer these questions via a review of the following six books: • Ronald J. Brachman, Hector J. Levesque, and Raymond Reiter, eds., Knowledge Representation, Special Issues of Artificial Intelligence: An International Journal, Cambridge, MA: MIT Press, 1992, 408 pp., $29.00 (paper), ISBN 0-262-52168-7. -
ERGOAI Reasoner User's Manual
ERGOAI Reasoner User’s Manual Version 2.0 (Myia) Edited by Michael Kifer Coherent Knowledge October 2018 Portions Copyright © 2013–2018 Coherent Knowledge CONTENTS Contents 1 Introduction 1 2 Installation 1 3 Running ERGO 2 4 ERGO Shell Commands 3 5 F-logic and ERGO by Example 10 6 Main Syntactic Elements of ERGO 10 7 Basic ERGO Syntax 13 7.1 F-logic Vocabulary ..................................... 13 7.2 Symbols, Strings, and Comments ............................. 18 7.3 Operators .......................................... 21 7.4 Logical Expressions ..................................... 23 7.5 Arithmetic (and related) Expressions ........................... 23 7.6 Quasi-constants and Quasi-variables ........................... 30 7.7 Synonyms .......................................... 31 7.8 Reserved Symbols ..................................... 31 8 Path Expressions 31 9 Set Notation 33 10 Typed Variables 34 11 Truth Values and Object Values 36 12 Boolean Methods 38 Portions Copyright © 2013–2018 Coherent Knowledge i CONTENTS 12.1 Boolean Signatures ..................................... 39 13 Skolem Symbols 39 14 Testing Meta-properties of Symbols and Variables 46 15 Lists, Sets, Ranges. The Operators \in, \subset, \sublist 50 16 Multifile Knowledge Bases 51 16.1 ERGO Modules ....................................... 52 16.2 Calling Methods and Predicates Defined in User Modules ............... 53 16.3 Finding the Current Module Name ............................ 55 16.4 Finding the Module That Invoked A Rule ........................ 55 16.5 Loading Files into User Modules ............................. 55 16.6 Adding Rule Bases to Existing Modules ......................... 58 16.7 Module References in Rule Heads ............................. 59 16.8 Calling Prolog Subgoals from ERGO ........................... 60 16.9 Calling ERGO from Prolog ................................. 62 16.9.1 Importing ERGO Predicates into Prolog ..................... 62 16.9.2 Passing Arbitrary Queries to ERGO ...................... -
Math 1090 Part Two: Predicate (First-Order) Logic
Math 1090 Part two: Predicate (First-Order) Logic Saeed Ghasemi York University 5th July 2018 Saeed Ghasemi (York University) Math 1090 5th July 2018 1 / 95 Question. Is propositional logic rich enough to do mathematics and computer science? The answer is \Absolutely not"! Mathematics and computer science deals with structures like sets, strings, numbers, matrices, trees, graphs, programs, Turing machines and many others. The propositional logic is not rich enough to deal with this structures. For example, try expressing the statements \there is a rational number strictly between two given rational numbers" or \every natural number has a unique prime factorization". We cannot even express these statements in the Boolean Logic, let alone proving them! Saeed Ghasemi (York University) Math 1090 5th July 2018 2 / 95 Number Theory-Peano's Arithmetic In order to express formulas in number theory: We need to be able to refer to numbers, N = f1; 2; 3;::: g as variables. we need to have variable symbols that would refer to numbers, like n; m; n0;::: . Let's call them \object variables". We need to be able to say when two numbers are equal, that's why we need a symbol \=" for the equality between the variable objects. We need to be able to say expressions like \for all natural numbers ...". So let's have a symbol 8, which says \for all". We need a special constant denoting 0. We also need to be able to add and multiply numbers. So lets have function + : N × N ! N and × : N × N ! N for addition and multiplication, respectively (we say these functions have arity2 because they take two inputs, so the function f (x; y; z) = ::: has arity 3). -
Cabineta Quarterly of Art and Culture
A QUARTERLY OF ART AND CULTURE ISSUE 18 FICTIONAL STATES CABINET US $10 CANADA $15 UK £6 inside this issue THERMIDOR 2005 Sasha Archibald • John Bear • Robert Blackson • William Bryk • Sasha Chavchavadze • Mark Dery • Allen Ezell • Charles Green • Invertebrate • Craig Kalpakjian • Peter Lamborn Wilson • David Levi Strauss • Brian McMullen • Glexis Novoa • George Pendle • Elizabeth Pilliod • Patrick Pound • Bonnie and Roger Riga • Lynne Roberts-Goodwin • Tal Schori • Cecilia Sjöholm • Frances Stark • Michael Taussig • Christopher Turner • Jonathan Ward • Christine Wertheim • Tony Wood • Shea Zellweger cabinet Cabinet is a non-profit 501 (c) (3) magazine published by Immaterial Incorporated. 181 Wyckoff Street Contributions to Cabinet are fully tax-deductible. Our survival is dependent on Brooklyn NY 11217 USA such contributions; please consider supporting us at whatever level you can. tel + 1 718 222 8434 Donations of $25 or more will be acknowledged in the next possible issue. Dona- fax + 1 718 222 3700 tions above $250 will be acknowledged for four issues. Checks should be made email [email protected] out to “Cabinet.” Please mark the envelope, “Rub your eyes before opening.” www.cabinetmagazine.org Cabinet wishes to thank the following visionary foundations and individuals Summer 2005, issue 18 for their support of our activities during 2005. Additionally, we will forever be indebted to the extraordinary contribution of the Flora Family Foundation from Editor-in-chief Sina Najafi 1999 to 2004; without their generous support, this publication would not exist. Senior editor Jeffrey Kastner Thanks also to the Andy Warhol Foundation for the Visual Arts for their two-year Editors Jennifer Liese, Christopher Turner grant in 2003-2004. -
Feature Extraction with Description Logics Functional Subsumption
Functional Subsumption in Feature Description Logic Rodrigo de Salvo Braz1 and Dan Roth2 1 [email protected] 2 [email protected] Department of Computer Science University of Illinois at Urbana-Champaign 201 N. Goodwin Urbana, IL 61801-2302 Summary. Most machine learning algorithms rely on examples represented propo- sitionally as feature vectors. However, most data in real applications is structured and better described by sets of objects with attributes and relations between them. Typically, ad-hoc methods have been used to convert such data to feature vectors, taking, in many cases, a significant amount of the computation. Propositionaliza- tion becomes more principled if generating features from structured data is done using a formal, domain independent language that describes feature types to be extracted. This language must have limited expressivity in order to be useful while some inference procedures on it are still tractable. In this chapter we present Feature Description Logic (FDL), proposed by Cumby & Roth, where feature extraction is viewed as an inference process (subsumption). We also present an extension to FDL we call Functional FDL. FDL is ultimately based on the unification of object attributes and relations between objects in or- der to detect feature types in examples. Functional subsumption provides further abstraction by using unification modulo a Boolean function representing similar- ity between attributes and relations. This greatly improves flexibility in practical situations by accomodating variations in attributes values and relation names, in- corporating background knowledge (e.g., typos, number and gender, synomyms etc). We define the semantics of Functional subsumption and how to adapt the regular subsumption algorithm for implementing it. -
Abstract and Root for Your Breast If She's Hungry
New Approach to Computational Cognition and Predicative Competence Rodolfo A. Fiorini Department of Electronics, Information and Bioengineering, Politecnico di Milano University, Italy [email protected] Abstract and root for your breast if she's hungry. Not only, babies can smell their mom from as far away as one to two feet. If you Artificial General Intelligence needs fresh methods hold the baby and engage the baby with your eyes, while with cognitive architectures and philosophy of telling the mother to watch what happens, the baby will al- mind. In this context, predicative competence, nat- ways turn her head after a few seconds and looks towards ural language processing, and cognitive approaches the mother. The baby can find her mother simply by smell- can play a fundamental role in developing a new ing her. Babies can focus their eyes only about eight to 10 generation of user-friendly, more autonomous but inches, but they can smell from a much further distance. still safe systems. Understanding this deep layer of Familiar and identifiable odors are better remembered than thought is vital to develop highly competitive, reli- are unfamiliar and less identifiable odors [Rabin and Cain, able and effective cognitive robot and brain- 1984; Schab and Crowder, 1995]. Baby rotates her head in inspired system. We present a new approach to the direction related to the highest sensed level of her mom's computational cognition and predicative compe- scent. tence. In the mammalian brain, the development of precise neu- ral circuits is initially directed by intrinsic genetic pro- 1 Introduction gramming and subsequently refined by neural activity [Katz Newly born babies are born equipped to respond to pleasant and Shatz, 1996; Zhang and Poo, 2001; Kirby et al., 2013]. -
Elaborating a Declaration on Combating Anti-Otherness
Alternative view of segmented documents via Kairos 20 July 2018 | Draft Elaborating a Declaration on Combating Anti-otherness including anti-science, anti-spiritual, anti-women, anti-gay, anti-socialism, anti- animal, and anti-negativity -- / -- Introduction Questionable instances of anti-otherness Draft Declaration on Combating Anti-otherness Anti-otherness, anti-alterity, anti-diversity and anti-consensus? Disputatious otherness and negative capability? Oppositional logic? Requirement for a paradoxical "anti-language"? Hyperreality and anti-otherness? Transformable architecture of future cognitive pantheons? Confusion of otherness through cognitive bias Periodic engendering of distinctive otherness Oppositional logic as comprehensible key to sustainable democracy References Introduction The following Declaration is inspired by the remarkable London Declaration on Combating Antisemitism (2009) approved at the Inter- parliamentary Coalition for Combating Antisemitism (ICCA). That initiative has been successfully followed by the articulation of a clarification of the nature of antisemitism by the European Commission (Combating Antisemitism, 6 July 2018) explicitly noting the legally non-binding working definition of antisemitism adopted unanimously by the International Holocaust Remembrance Alliance (May 2016). The clarification takes the form of a Resolution on Combating Antisemitism, as adopted by the European Parliament (1 June 2017). The question is currently the focus of considerable controversy regarding antisemitism within the UK Labour Party, as variously noted (Labour MPs back antisemitism measures rejected by Corbyn, The Guardian, 10 May 2018; Labour MP labels Corbyn an 'antisemite' over party's refusal to drop code, The Guardian, 17 July 2018; Jeremy Corbyn's anti-Semitism problem, The Economist, 31 March 2018; How should antisemitism be defined? The Guardian, 27 July 2018; Yes, Jews are angry -- because Labour hasn't listened or shown any empathy, The Guardian, 27 July 2018). -
Bridges: Mathematical Connections in Art, Music, and Science. Conference Proceedings 1998
Nexus Esecutivo 19-01-2004 9:19 Seite 149 Reza Sarhangi ed. Bridges: Mathematical Connections in Art, Music, and Science. Conference Proceedings 1998. Winfield, Kansas: Southwestern College, 1998 Reviewed by Solomon Marcus. The Emergence of Bridges The key word, giving the motivation of the most contributions in this volume, is BRIDGES. The title of the volume is just the slogan under which the Conference was announced at the beginning of the year 1998. This slogan requires some explanations. The noun “bridge” and the verb “to bridge” became, in the last decades, one of the most frequent metaphors to which a reference is made when the adopted approach crosses different fields. Is it equivalent to what is traditionally called interdisciplinarity? It seems that “bridge” is in some sense less and in some other sense more. We will not speak of bridging mathematics and mechanics, because their collaboration is very old. “Bridge” is reserved for fields or trends not yet connected or insufficiently connected. But this is not the only difference. Interdisciplinarity is usually understood in a unidirectional binary way: some ideas, tools, results or methods from a discipline A are used in approaching a problem in another discipline B. “Bridging A and B” may refer also to the case when A and B are entities of another type than disciplines, for instance one can bridge nature and culture (the slogan of an international congress of semiotics was “Semiotics Bridging Nature and Culture”), the quantum level and the cosmic level of reality (like in quantum cosmology), exactness and abstraction (like in mathematics), Plato and Leonardo da Vinci (like in some artistic works), objective and subjective (like in some philosophical approaches), etc. -
El Alfabeto L´Ogico De Zellweger
El Alfabeto Logico´ de Zellweger Zellweger's Logic Alphabet Oscar Abel Cardona-HurtadoI Resumen. Una de las notaciones mas´ importantes para los conectivos proposicionales binarios fue creada en 1953 por Shea Zellweger. Este sistema, denominado Alfabeto Logico,´ posee diversas propiedades logicas,´ algebraicas y geometricas´ de las cuales no goza la notacion´ tradicional. Ademas´ de varias propiedades individuales y de m´ultiples relaciones entre los conectivos, las simetr´ıas del sistema completo de los conectivos proposicionales binarios se evidencian de manera visual en los signos propuestos por Zellweger. Palabras clave: Shea Zellweger, conectivo proposicional, tabla de verdad, operacion,´ simetr´ıa. Abstract. One of the most important notations for the binary propositional connectives was created in 1953 by Shea Zellweger. This system, called Logic Alphabet has several the logical, algebraic and geometric properties which does not enjoy the usual notation. Besides several individual properties and numerous relations between connectives, the IProfesor de catedra,´ Departamento de Matematicas´ y Estad´ıstica, Universidad del Tolima symmetries of the complete system of connectives are visually reflected in the signs proposed by Zellweger. Keywords: Shea Zellweger, propositional connective, truth table, operation, symmetry. 1. Introduccion´ El calculo´ proposicional clasico´ se caracteriza por el uso de ciertos conectivos logicos´ que sirven para indicar un nexo entre proposiciones, generando as´ıexpresiones com- puestas. En las presentaciones usuales se tienen en cuenta la negacion,´ la conjuncion,´ la disyuncion,´ la implicacion´ y la equivalencia. Dado que en la logica´ clasica´ solo se con- sideran dos valores de verdad, estos conectivos se pueden definir mediante las llamadas tablas de verdad que se muestran a continuacion.´ A ∼A V F F V Tabla 1. -
Logic Made Easy: How to Know When Language Deceives
LOGIC MADE EASY ALSO BY DEBORAH J. BENNETT Randomness LOGIC MADE EASY How to Know When Language Deceives You DEBORAH J.BENNETT W • W • NORTON & COMPANY I ^ I NEW YORK LONDON Copyright © 2004 by Deborah J. Bennett All rights reserved Printed in the United States of America First Edition For information about permission to reproduce selections from this book, write to Permissions, WW Norton & Company, Inc., 500 Fifth Avenue, New York, NY 10110 Manufacturing by The Haddon Craftsmen, Inc. Book design by Margaret M.Wagner Production manager: Julia Druskin Library of Congress Cataloging-in-Publication Data Bennett, Deborah J., 1950- Logic made easy : how to know when language deceives you / Deborah J. Bennett.— 1st ed. p. cm. Includes bibliographical references and index. ISBN 0-393-05748-8 1. Reasoning. 2. Language and logic. I.Title. BC177 .B42 2004 160—dc22 2003026910 WW Norton & Company, Inc., 500 Fifth Avenue, New York, N.Y. 10110 www. wwnor ton. com WW Norton & Company Ltd., Castle House, 75/76Wells Street, LondonWlT 3QT 1234567890 CONTENTS INTRODUCTION: LOGIC IS RARE I 1 The mistakes we make l 3 Logic should be everywhere 1 8 How history can help 19 1 PROOF 29 Consistency is all I ask 29 Proof by contradiction 33 Disproof 3 6 I ALL 40 All S are P 42 Vice Versa 42 Familiarity—help or hindrance? 41 Clarity or brevity? 50 7 8 CONTENTS 3 A NOT TANGLES EVERYTHING UP 53 The trouble with not 54 Scope of the negative 5 8 A and E propositions s 9 When no means yes—the "negative pregnant" and double negative 61 k SOME Is PART OR ALL OF ALL 64 Some -
Ideas in Action: Proceedings of the Applying Peirce Conference
IDEAS IN ACTION Proceedings of the Applying Peirce Conference Edited by: Mats Bergman, Sami Paavola, Ahti-Veikko Pietarinen, Henrik Rydenfelt Nordic NSP Studies in Pragmatism 1 IDEAS IN ACTION Nordic Studies in Pragmatism Series editors: Mats Bergman Henrik Rydenfelt The purpose of the series is to publish high-quality monographs and col- lections of articles on the tradition of philosophical pragmatism and closely related topics. It is published online in an open access format by the Nordic Pragmatism Network, making the volumes easily accessible for scholars and students anywhere in the world. IDEAS IN ACTION PROCEEDINGS OF THE APPLYING PEIRCE CONFERENCE Nordic Studies in Pragmatism 1 Edited by Mats Bergman, Sami Paavola, Ahti-Veikko Pietarinen & Henrik Rydenfelt Nordic Pragmatism Network, NPN Helsinki 2010 Copyright c 2010 The Authors and the Nordic Pragmatism Network. This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. CC BY NC For more information, see http://creativecommons.org/licenses/by-nc/./ www.nordprag.org ISSN-L - ISSN - ISBN ---- This work is typeset with Donald Knuth’s TEX program, using LATEX2ε macros and the ‘Nnpbook’ class definition. Contents Preface iv Note on References v 1 Reconsidering Peirce’s Relevance 1 Nathan Houser Part I 2 Serving Two Masters: Peirce on Pure Science, Useless Things, and Practical Applications 17 Mats Bergman 3 The Function of Error in Knowledge and Meaning: Peirce, Apel, Davidson 38 Elizabeth F. Cooke 4 Peircean Modal Realism? 48 Sami Pihlstr¨om 5 Toward a Transcendental Pragmatic Reconciliation of Analytic and Continental Philosophy 62 Jerold J. Abrams 6 Reflections on Practical Otherness: Peirce and Applied Sciences 74 Ivo Assad Ibri 7 Problems in Applying Peirce in Social Sciences 86 Erkki Kilpinen 8 Peirce and Pragmatist Democratic Theory 105 Robert B.