Inside the Black Box: Raising Standards Through Classroom Assessment
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Existing Cybernetics Foundations - B
SYSTEMS SCIENCE AND CYBERNETICS – Vol. III - Existing Cybernetics Foundations - B. M. Vladimirski EXISTING CYBERNETICS FOUNDATIONS B. M. Vladimirski Rostov State University, Russia Keywords: Cybernetics, system, control, black box, entropy, information theory, mathematical modeling, feedback, homeostasis, hierarchy. Contents 1. Introduction 2. Organization 2.1 Systems and Complexity 2.2 Organizability 2.3 Black Box 3. Modeling 4. Information 4.1 Notion of Information 4.2 Generalized Communication System 4.3 Information Theory 4.4 Principle of Necessary Variety 5. Control 5.1 Essence of Control 5.2 Structure and Functions of a Control System 5.3 Feedback and Homeostasis 6. Conclusions Glossary Bibliography Biographical Sketch Summary Cybernetics is a science that studies systems of any nature that are capable of perceiving, storing, and processing information, as well as of using it for control and regulation. UNESCO – EOLSS The second title of the Norbert Wiener’s book “Cybernetics” reads “Control and Communication in the Animal and the Machine”. However, it is not recognition of the external similaritySAMPLE between the functions of animalsCHAPTERS and machines that Norbert Wiener is credited with. That had been done well before and can be traced back to La Mettrie and Descartes. Nor is it his contribution that he introduced the notion of feedback; that has been known since the times of the creation of the first irrigation systems in ancient Babylon. His distinctive contribution lies in demonstrating that both animals and machines can be combined into a new, wider class of objects which is characterized by the presence of control systems; furthermore, living organisms, including humans and machines, can be talked about in the same language that is suitable for a description of any teleological (goal-directed) systems. -
Building the Observer Into the System: Toward a Realistic
Building the Observer into the System: Toward a Realistic Description of Human Interaction with the World Chris Fields 243 West Spain Street Sonoma, CA 95476 USA fi[email protected] November 11, 2016 Abstract Human beings do not observe the world from the outside, but rather are fully embedded in it. The sciences, however, often give the observer both a “god’s eye” perspective and substantial a priori knowledge. Motivated by W. Ross Ashby’s state- ment, “the theory of the Black Box is merely the theory of real objects or systems, when close attention is given to the question, relating object and observer, about what information comes from the object, and how it is obtained” (Introduction to Cyber- netics, 1956, p. 110), I develop here an alternate picture of the world as a black box to which the observer is coupled. Within this framework I prove purely-classical analogs of the “no-go” theorems of quantum theory. Focussing on the question of identifying macroscopic objects, such as laboratory apparatus or even other observers, I show arXiv:1411.3405v6 [quant-ph] 10 Nov 2016 that the standard quantum formalism of superposition is required to adequately rep- resent the classical information that an observer can obtain. I relate these results to supporting considerations from evolutionary biology, cognitive and developmental psychology, and artificial intelligence. Subject Classification: 03.65.Yz; 04.60.Bc Keywords:black box; classicality; environment as witness; Landauer’s principle; pragmatic information; quantum Darwinism; separability; superposition; time 1 The theory of the Black Box is merely the theory of real objects or systems, when close attention is given to the question, relating object and observer, about what information comes from the object, and how it is obtained. -
Black Box, Black Bloc” a Lecture Given at the New School in New York City on April 12, 2010 Alexander R
“Black Box, Black Bloc” A lecture given at the New School in New York City on April 12, 2010 Alexander R. Galloway Facial recognition and autoblur software, Google Street View, 20 Rue de la Vicarie, Saint Brieuc, France. Of all the revivals in recent years--a period of history in which the revival itself has been honed to such a degree that it persists as mere “blank parody”--the revival of Hegel is the most startling, although certainly not for those involved. Hegelianisms of all shapes and sizes prevail today, from Catherine Malabou's dutiful reconstruction of the “plastic” dialectical transformations, to the hysterical antimaterialism of Slavoj Žižek and his convocation of the inescapable bind between the “determinate negation” and the “wholly Other,” from which explodes the terror of proletarian power. Is not Woody Allen's character Alvy Singer in Annie Hall the perfect summation of Žižek's political project: Okay I'm a bigot, but for the left! Or consider the unrepentant Hegelian Alain Badiou who stakes everything on being as a pure formalism that only ever realizes itself through the event, an absolute departure from the state of the situation. Only the Hegelian dialectic, and not the Marxist one, can snap back so cleanly to its origins like this, suggesting in essence that Aufhebung was always forever a spectralization and not a mediation in general, that in other words the 1 ultimate truth of the Hegelian dialectic is spirit, not negation or becoming or anything so usefully mechanical. The negation is thus revoked during synthesis, much more than it is resolved. -
Opening the Black Box: the Contextual Drivers of Social Accountability
Opening the Black B Opening the Black The Con new fronTiers of s oCial PoliCy Citizens across the world are calling for greater citizen-state engagement. Social accountability (SA) has steadily gained prominence for its intrinsic value as well as for its potential to bring about a range of development outcomes. But how and when does social T accountability support service delivery as well as institutional outcomes such as state ex T legitimacy and citizen trust? This book provides a framework to assess the contextual ual Drivers of drivers of social accountability effectiveness based on a definition of SA as the interplay of citizen action and state action, supported by civic mobilization, interface, and information. The proposed framework provides practitioners with a systematic way to assess context for SA in order to design, implement, and monitor SA approaches tailored to a specific context and issue. The book also applies the framework to challenging country contexts. In doing so, it addresses key knowledge gaps on how policy makers, practitioners, and development O institutions can best support development outcomes through social accountability and s o citizen engagement. x C ial “At last, we have in one place, a comprehensive picture of our current knowledge about Acc social accountability! This book presents cutting-edge analysis, provides a synthesis of the evidence, and advances our thinking on three key fronts. Foremost, the authors take oun the whole issue of context seriously, examine in micro detail the various contextual T factors that matter for social accountability work, what we know about them, and how abili they unfold in a variety of empirical cases. -
The Cybernetic Brain
THE CYBERNETIC BRAIN THE CYBERNETIC BRAIN SKETCHES OF ANOTHER FUTURE Andrew Pickering THE UNIVERSITY OF CHICAGO PRESS CHICAGO AND LONDON ANDREW PICKERING IS PROFESSOR OF SOCIOLOGY AND PHILOSOPHY AT THE UNIVERSITY OF EXETER. HIS BOOKS INCLUDE CONSTRUCTING QUARKS: A SO- CIOLOGICAL HISTORY OF PARTICLE PHYSICS, THE MANGLE OF PRACTICE: TIME, AGENCY, AND SCIENCE, AND SCIENCE AS PRACTICE AND CULTURE, A L L PUBLISHED BY THE UNIVERSITY OF CHICAGO PRESS, AND THE MANGLE IN PRAC- TICE: SCIENCE, SOCIETY, AND BECOMING (COEDITED WITH KEITH GUZIK). THE UNIVERSITY OF CHICAGO PRESS, CHICAGO 60637 THE UNIVERSITY OF CHICAGO PRESS, LTD., LONDON © 2010 BY THE UNIVERSITY OF CHICAGO ALL RIGHTS RESERVED. PUBLISHED 2010 PRINTED IN THE UNITED STATES OF AMERICA 19 18 17 16 15 14 13 12 11 10 1 2 3 4 5 ISBN-13: 978-0-226-66789-8 (CLOTH) ISBN-10: 0-226-66789-8 (CLOTH) Library of Congress Cataloging-in-Publication Data Pickering, Andrew. The cybernetic brain : sketches of another future / Andrew Pickering. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-226-66789-8 (cloth : alk. paper) ISBN-10: 0-226-66789-8 (cloth : alk. paper) 1. Cybernetics. 2. Cybernetics—History. 3. Brain. 4. Self-organizing systems. I. Title. Q310.P53 2010 003’.5—dc22 2009023367 a THE PAPER USED IN THIS PUBLICATION MEETS THE MINIMUM REQUIREMENTS OF THE AMERICAN NATIONAL STANDARD FOR INFORMATION SCIENCES—PERMA- NENCE OF PAPER FOR PRINTED LIBRARY MATERIALS, ANSI Z39.48-1992. DEDICATION For Jane F. CONTENTS Acknowledgments / ix 1. The Adaptive Brain / 1 2. Ontological Theater / 17 PART 1: PSYCHIATRY TO CYBERNETICS 3. -
Second Order Cybernetics 31/08/2008 10:08
SECOND ORDER CYBERNETICS 31/08/2008 10:08 Search Print this chapter Cite this chapter SECOND ORDER CYBERNETICS Ranulph Glanville, CybernEthics Research, UK and Royal Melbourne Institute of Technology University, Australia Keywords: actor, analogy, argument, automata, autopoiesis, behavior, biology, Black_Box, causality, circularity, coding, cognition, communication, computation, concept, consciousness, control, conversation, cybernetics, description, design, distinction, ecology, education, environment, epistemology, error, ethics, feedback, form, function, generosity, goal, homeostasis, idea, identity, individual, information, interaction, internet, knowing, language, learning, logic, management, mathematics, meaning, mechanism, memory, meta-, metaphor, moment, mutualism, network, object, observe, organizational_closure, oscillation, person, phenomenon, philosophical, physics, positivist, (post-)_modernism, praxis, process, program, psychology, purpose, quality, reality, reason, recursion, relative, responsibility, science, second_order_cybernetics, (self-)_reference, semiotics, social, structure, subject, support, system, theory, thinking, time, truth, understanding, variety, whole_(and_part) Contents 1. Introduction: What Second Order Cybernetics is, and What it Offers 2. Background—the Logical Basis for Second Order Cybernetics 3. Second Order Cybernetics—Historical Overview 4. Theory of Second Order Cybernetics 5. Praxis of Second Order Cybernetics 6. A Note on Second Order Cybernetics and Constructivism 7. Cybernetics, Second Order -
Prince of Networks: Bruno Latour and Metaphysics
Open Access Statement – Please Read This book is Open Access. This work is not simply an electronic book; it is the open access version of a work that exists in a number of forms, the traditional printed form being one of them. Copyright Notice This work is ‘Open Access’, published under a creative commons license which means that you are free to copy, distribute, display, and perform the work as long as you clearly attribute the work to the authors, that you do not use this work for any commercial gain in any form and that you in no way alter, transform or build on the work outside of its use in normal aca- demic scholarship without express permission of the author and the publisher of this volume. Furthermore, for any reuse or distribution, you must make clear to others the license terms of this work. For more information see the details of the creative commons licence at this website: http://creativecommons.org/licenses/by-nc-nd/2.5/ This means that you can: • read and store this document free of charge • distribute it for personal use free of charge • print sections of the work for personal use • read or perform parts of the work in a context where no financial transactions take place However, you cannot: • gain financially from the work in anyway • sell the work or seek monies in relation to the distribution of the work • use the work in any commercial activity of any kind • profit a third party indirectly via use or distribution of the work • distribute in or through a commercial body (with the exception of academic usage within educational institutions such as schools and universities) • reproduce, distribute or store the cover image outside of its function as a cover of this work • alter or build on the work outside of normal academic scholarship Cover Art The artwork on the cover of this book is not open access and falls under traditional copyright provisions and thus cannot be reproduced in any way without written permission of the artists and their agents. -
Copying Black-Box Models Using Generative Evolutionary Algorithms
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms Antonio Barb˘ al˘ au˘ 1;∗, Adrian Cosma2, Radu Tudor Ionescu1, Marius Popescu1 1University of Bucharest, Romania 2University Politehnica of Bucharest, Romania ∗[email protected] Abstract We study the task of replicating the functionality of black-box neural models, for which we only know the output class probabilities provided for a set of input images. We assume back-propagation through the black-box model is not possible and its training images are not available, e.g. the model could be exposed only through an API. In this context, we present a teacher-student framework that can distill the black-box (teacher) model into a student model with minimal accuracy loss. To generate useful data samples for training the student, our framework (i) learns to generate images on a proxy data set (with images and classes different from those used to train the black-box) and (ii) applies an evolutionary strategy to make sure that each generated data sample exhibits a high response for a specific class when given as input to the black box. Our framework is compared with several baseline and state-of-the-art methods on three benchmark data sets. The empirical evidence indicates that our model is superior to the considered baselines. Although our method does not back-propagate through the black-box network, it generally surpasses state-of-the-art methods that regard the teacher as a glass-box model. Our code is available at: https://github.com/antoniobarbalau/black-box-ripper. 1 Introduction In the last couple of years, AI has gained a lot of attention in industry, due to the latest research developments in the field, e.g. -
Black Box Activities for Grades Seven-Nine Science Programs And
DOCUMENT RESUME ED 371 950 SE 054 618 AUTHOR Schlenker, Richard M., Comp. TITLE BlacE Box Activities for GradesSeven-Nine Science Programs and Beyond. A Supplement forScience 1, 2, &3. INSTITUTION Dependents Schools (DOD), Washington, DC.Pacific Region. PUB DATE 93 NOTE 157p. PUB TYPE Guides Classroom Use Instructional Materials (For Learner) (051) Guides Classroom Use Teaching Guides (For Teacher) (052) EDRS PRICE MF01/PC07 Plus Postage. DESCRIPTORS Astronomy; *Electric Circuits; InserviceEducation; Junior High Schools; *ScienceActivities; *Science Instruction; *Science Process Skills;Science Teachers; Scientific Methodology IDENTIFIERS *Black Box Activities;Dependents Schools; Handson Science ABSTRACT Many times science does not provideus with exact descriptions of phenomena or answers to questions but only allowsus to make educated guesses. Blackbox activities encourage thismethod of scientific thinking because the activity is performed insidl.a sealed container requiring thestudents to hypothesize on the contents and operation of the activity.This collection of hands-on activities was developed by inserviceteachers employed by the Department of Defense Dependents SchoolsPacific Region and were designed to help students achievethese realizations. The activities included are as follows: (1) "TheMystery Box";(2) "A Black Box"; (3) "Black Box ActiviLya Project in Inferring"; (4) Black Box Creating Your Own Constellations"; (5) "Black Box Shadows";(6) Black Box Activity Electrical Circui,t's"; (7) "Black Box Grades 6-9"; (7) "Ways of Knowing-Activity 2The Black Box"; (8) "Black Box Experiment"; (9) "The Hands DownMethod of Random Sampling of Icebergs for Polar Bears and IceHoles. A Black Box Activity"; (10) "Black Box Materials Identification";and (11) "Milk Carton Madness." Each activity contains an overview, purpose, objectives,procedures, brief discussion of the resultsobtained in the classroom, and additional suggestions for classroomuse. -
The Black Box Society
THE BLACK BOX SOCIETY The Secret Algorithms That Control Money and Information FRANK PASQUALE Cambridge, Massachusetts London, En gland !"#$ CONTENTS ! Introduction—The Need to Know ! " Digital Reputation in an Era of Runaway Data !# $ The Hidden Logics of Search %# & Finance’s Algorithms: The Emperor’s New Codes !'! % Watching (and Improving) the Watchers !&' ( Toward an Intelligible Society !)# Notes ""! Ac know ledg ments $'% Index $'* [T]here is one world in common for those who are awake, but [when] men are asleep each turns away into a world of his own. —Heracleitus Million- fuelèd, ൏ nature’s bon+ re burns on. But quench her bonniest, dearest ൏ to her, her clearest-selvèd spark Man, how fast his + redint, ൏ his mark on mind, is gone! Both are in an unfathomable, all is in an enormous dark Drowned. —Gerard Manley Hopkins 1 INTRODUCTION—THE NEED TO KNOW EVERYBODY KNOWS the story about the man crawling intently around a lamppost on a dark night. When a police of+ cer comes along and wants to know what he’s doing, he says he’s looking for his keys. “You lost them here?” asks the cop. “No,” the seeker replies, “but this is where the light is.” This bromide about futility has lately taken on a whole new meaning as a meta phor for our increasingly enigmatic technologies. There’s a noble tradition among social scientists of trying to clar- ify how power works: who gets what, when, where, and why., Our common life is explored in books like The Achieving Society, The Winner-Take-All Society, The Good Society, and The Decent Society. -
Selection Guide for Oil Spill Applied Technologies: Volume 1
****ATTENTION**** Disclaimer: The information provided in this document by Region III and IV Regional Response Teams is for guidance purposes only. Specific information on countermeasure categories and products used for oil spill response listed in this document does not supersede the National Oil and Hazardous Substances Pollution Contingency Plan (NCP), Subpart J, Product Schedule rule. 40 CFR Part 300.900 addresses specific authorization for use of spill countermeasures. Part 300.905 explains, in detail, the categories and specific requirements of how a product is classified under one of the following categories: dispersants, surface washing agents, bioremediation agents, surface collecting agents, and miscellaneous oil spill control agents. Products that consist of materials that meet the definitions of more than one of the product categories will be listed under one category to be determined by the USEPA. A manufacturer who claims to have more than one defined use for a product must provide data to the USEPA to substantiate such claims. However, it is the discretion of RRTs and OSCs to use the product as appropriate and within a manner consistent with the NCP during a specific spill. For clarification of this disclaimer, or to obtain a copy of a current Product Schedule, please contact the USEPA Oil Program Center at (703) 603-9918. This page intentionally left blank. SSeelleeccttiioonn GGuuiiddee ffoorr OOiill SSppiillll AApppplliieedd TTeecchhnnoollooggiieess VVoolluummee II –– DDeecciissiioonn MMaakkiinngg NOTE: This revision of Volume I of the “Selection Guide for Oil Spill Applied Technologies” reflects many changes from the previous versions. Scientific and Environmental Associates, Incorporated and the Members of the 2002 Selection Guide Development Committee. -
(2018) the Artificial Intelligence Black Box and the Failure of Intent And
Harvard Journal of Law & Technology Volume 31, Number 2 Spring 2018 THE ARTIFICIAL INTELLIGENCE BLACK BOX AND THE FAILURE OF INTENT AND CAUSATION Yavar Bathaee* TABLE OF CONTENTS I. INTRODUCTION .............................................................................. 890 II. AI, MACHINE-LEARNING ALGORITHMS, AND THE CAUSES OF THE BLACK BOX PROBLEM ...................................................... 897 A. What Is Artificial Intelligence? ................................................ 898 B. How Do Machine-Learning Algorithms Work? ....................... 899 C. Two Machine-Learning Algorithms Widely Used in AI and the Black Box Problem ................................................... 901 1. Deep Neural Networks and Complexity................................ 901 2. Support Vector Machines and Dimensionality ...................... 903 D. Weak and Strong Black Boxes ................................................. 905 III. THE BLACK BOX PROBLEM AND THE FAILURE OF INTENT ......... 906 A. Non-AI Algorithms and Early Cracks in Intent ........................ 908 B. AI and Effect Intent .................................................................. 911 C. AI-Assisted Opinions and Basis Intent ..................................... 914 D. AI and Gatekeeping Intent ....................................................... 919 IV. THE FAILURE OF CAUSATION ..................................................... 922 A. Conduct-Regulating Causation ................................................ 923 B. Conduct-Nexus Causation .......................................................