Norbert Wiener and the Growth of Negative Feedback in Scientific Explanation; with a Proposed Research Program of "Cybernetic Analysis"
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What Is a Complex Adaptive System?
PROJECT GUTS What is a Complex Adaptive System? Introduction During the last three decades a leap has been made from the application of computing to help scientists ‘do’ science to the integration of computer science concepts, tools and theorems into the very fabric of science. The modeling of complex adaptive systems (CAS) is an example of such an integration of computer science into the very fabric of science; models of complex systems are used to understand, predict and prevent the most daunting problems we face today; issues such as climate change, loss of biodiversity, energy consumption and virulent disease affect us all. The study of complex adaptive systems, has come to be seen as a scientific frontier, and an increasing ability to interact systematically with highly complex systems that transcend separate disciplines will have a profound affect on future science, engineering and industry as well as in the management of our planet’s resources (Emmott et al., 2006). The name itself, “complex adaptive systems” conjures up images of complicated ideas that might be too difficult for a novice to understand. Instead, the study of CAS does exactly the opposite; it creates a unified method of studying disparate systems that elucidates the processes by which they operate. A complex system is simply a system in which many independent elements or agents interact, leading to emergent outcomes that are often difficult (or impossible) to predict simply by looking at the individual interactions. The “complex” part of CAS refers in fact to the vast interconnectedness of these systems. Using the principles of CAS to study these topics as related disciplines that can be better understood through the application of models, rather than a disparate collection of facts can strengthen learners’ understanding of these topics and prepare them to understand other systems by applying similar methods of analysis (Emmott et al., 2006). -
Early Stored Program Computers
Stored Program Computers Thomas J. Bergin Computing History Museum American University 7/9/2012 1 Early Thoughts about Stored Programming • January 1944 Moore School team thinks of better ways to do things; leverages delay line memories from War research • September 1944 John von Neumann visits project – Goldstine’s meeting at Aberdeen Train Station • October 1944 Army extends the ENIAC contract research on EDVAC stored-program concept • Spring 1945 ENIAC working well • June 1945 First Draft of a Report on the EDVAC 7/9/2012 2 First Draft Report (June 1945) • John von Neumann prepares (?) a report on the EDVAC which identifies how the machine could be programmed (unfinished very rough draft) – academic: publish for the good of science – engineers: patents, patents, patents • von Neumann never repudiates the myth that he wrote it; most members of the ENIAC team contribute ideas; Goldstine note about “bashing” summer7/9/2012 letters together 3 • 1.0 Definitions – The considerations which follow deal with the structure of a very high speed automatic digital computing system, and in particular with its logical control…. – The instructions which govern this operation must be given to the device in absolutely exhaustive detail. They include all numerical information which is required to solve the problem…. – Once these instructions are given to the device, it must be be able to carry them out completely and without any need for further intelligent human intervention…. • 2.0 Main Subdivision of the System – First: since the device is a computor, it will have to perform the elementary operations of arithmetics…. – Second: the logical control of the device is the proper sequencing of its operations (by…a control organ. -
Cybernetics 1950
SOME OF THE PROBLEMS CONCERNING DIGITAL [11] NOTIONS IN THE CENTRAL NERVOUS SYSTEM RALPH W. GERARD Department of Physiology, School of Medicine, University of Chicago I should like to begin by saying, especially for the benefit of the newcomers, that this particular group is the most provocative one with which I am associated. I owe more new ideas and viewpoints to the meetings we have had over the past few years than to any other similar experience; our gatherings, therefore, have evoked some insights. The subject and the group have also provoked a tremendous amount of external inter- est, almost to the extent of a national fad. They have also prompted extensive articles in such well known scientific magazines as Time, News-Week, and Life. Some of these events have, in turn, led me to speak to you this morning. It seems to me, in looking back over the history of this group, that we started our discussions and sessions in the »as if« spirit. Everyone was delighted to express any idea that came into his mind, whether it seemed silly or certain or merely a stimulating guess that would affect someone else. We explored possibilities for all sorts of »ifs.« Then, rather sharply it seemed to me, we began to talk in an »is« idiom. We were say- ing much the same things, but now saying them as if they were so. I remembered a definition of pregnancy: »the result of taking seriously something poked at one in fun,« and wondered if we had become pregnant and were in some danger of premature delivery. -
Warren Mcculloch and the British Cyberneticians
Warren McCulloch and the British cyberneticians Article (Accepted Version) Husbands, Phil and Holland, Owen (2012) Warren McCulloch and the British cyberneticians. Interdisciplinary Science Reviews, 37 (3). pp. 237-253. ISSN 0308-0188 This version is available from Sussex Research Online: http://sro.sussex.ac.uk/id/eprint/43089/ This document is made available in accordance with publisher policies and may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher’s version. Please see the URL above for details on accessing the published version. Copyright and reuse: Sussex Research Online is a digital repository of the research output of the University. Copyright and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable, the material made available in SRO has been checked for eligibility before being made available. Copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. http://sro.sussex.ac.uk Warren McCulloch and the British Cyberneticians1 Phil Husbands and Owen Holland Dept. Informatics, University of Sussex Abstract Warren McCulloch was a significant influence on a number of British cyberneticians, as some British pioneers in this area were on him. -
Control Theory
Control theory S. Simrock DESY, Hamburg, Germany Abstract In engineering and mathematics, control theory deals with the behaviour of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain ref- erence over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. Rapid advances in digital system technology have radically altered the control design options. It has become routinely practicable to design very complicated digital controllers and to carry out the extensive calculations required for their design. These advances in im- plementation and design capability can be obtained at low cost because of the widespread availability of inexpensive and powerful digital processing plat- forms and high-speed analog IO devices. 1 Introduction The emphasis of this tutorial on control theory is on the design of digital controls to achieve good dy- namic response and small errors while using signals that are sampled in time and quantized in amplitude. Both transform (classical control) and state-space (modern control) methods are described and applied to illustrative examples. The transform methods emphasized are the root-locus method of Evans and fre- quency response. The state-space methods developed are the technique of pole assignment augmented by an estimator (observer) and optimal quadratic-loss control. The optimal control problems use the steady-state constant gain solution. Other topics covered are system identification and non-linear control. System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data. -
An Introduction to Control Systems; K. Warwick
An Introduction to Control Systems; K. Warwick 362 pages; World Scientific, 1996; K. Warwick; 9810225970, 9789810225971; 1996; An Introduction to Control Systems; This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks. file download wici.pdf The Breakthrough in Artificial Intelligence; While horror films and science fiction have repeatedly warned of robots running amok, Kevin Warwick takes the threats out of the realm of fiction and into the real world, truly; Computers; K. Warwick; 307 pages; ISBN:0252072235; 1997; March of the Machines Control Bruce O. Watkins; Introduction to control systems; UOM:39015002007683; Technology & Engineering; 625 pages; 1969 Robot Control; ISBN:0863411282; Jan 1, 1988; K. Warwick, Alan Pugh; Technology & Engineering; 238 pages; Theory and Applications Automatic control; ISBN:0750622989; Davinder K. Anand; 730 pages; Since the second edition of this classic text for students and engineers appeared in 1984, the use of computer-aided design software has become an important adjunct to the; Introduction to Control Systems; Jan 1, 1995 An Introduction to Control Systems pdf download 596 pages; Mar 18, 1993; STANFORD:36105004050907; based on the proceedings of a conference on Robotics, applied mathematics and computational aspects; K. -
The Effects of Feedback Interventions on Performance: a Historical Review, a Meta-Analysis, and a Preliminary Feedback Intervention Theory
Psychological Bulletin Copyright 1996 by the American Psychological Association, Inc. 1996, Vol. II9, No. 2, 254-284 0033-2909/96/S3.00 The Effects of Feedback Interventions on Performance: A Historical Review, a Meta-Analysis, and a Preliminary Feedback Intervention Theory Avraham N. Kluger Angelo DeNisi The Hebrew University of Jerusalem Rutgers University Since the beginning of the century, feedback interventions (FIs) produced negative—but largely ignored—effects on performance. A meta-analysis (607 effect sizes; 23,663 observations) suggests that FIs improved performance on average (d = .41) but that over '/3 of the FIs decreased perfor- mance. This finding cannot be explained by sampling error, feedback sign, or existing theories. The authors proposed a preliminary FI theory (FIT) and tested it with moderator analyses. The central assumption of FIT is that FIs change the locus of attention among 3 general and hierarchically organized levels of control: task learning, task motivation, and meta-tasks (including self-related) processes. The results suggest that FI effectiveness decreases as attention moves up the hierarchy closer to the self and away from the task. These findings are further moderated by task characteristics that are still poorly understood. To relate feedback directly to behavior is very confusing. Results able has been historically disregarded by most FI researchers. This are contradictory and seldom straight-forward. (Ilgen, Fisher, & disregard has led to a widely shared assumption that FIs consis- Taylor, 1979, p. 368) tently improve performance. Fortunately, several FI researchers The effects of manipulation of KR [knowledge of results] on motor (see epigraphs) have recently recognized that FIs have highly vari- learning. -
Toward a New Science of Information
Data Science Journal, Volume 6, Supplement, 7 April 2007 TOWARD A NEW SCIENCE OF INFORMATION D Doucette1*, R Bichler 2, W Hofkirchner2, and C Raffl2 *1 The Science of Information Institute, 1737 Q Street, N.W. Washington, D.C. 20009, USA Email: [email protected] 2 ICT&S Center, University of Salzburg - Center for Advanced Studies and Research in Information and Communication Technologies & Society, Sigmund-Haffner-Gasse 18, 5020 Salzburg, Austria Email: [email protected], [email protected], [email protected] ABSTRACT The concept of information has become a crucial topic in several emerging scientific disciplines, as well as in organizations, in companies and in everyday life. Hence it is legitimate to speak of the so-called information society; but a scientific understanding of the Information Age has not had time to develop. Following this evolution we face the need of a new transdisciplinary understanding of information, encompassing many academic disciplines and new fields of interest. Therefore a Science of Information is required. The goal of this paper is to discuss the aims, the scope, and the tools of a Science of Information. Furthermore we describe the new Science of Information Institute (SOII), which will be established as an international and transdisciplinary organization that takes into consideration a larger perspective of information. Keywords: Information, Science of Information, Information Society, Transdisciplinarity, Science of Information Institute (SOII), Foundations of Information Science (FIS) 1 INTRODUCTION Information is emerging as a new and large prospective area of study. The notion of information has become a crucial topic in several emerging scientific disciplines such as Philosophy of Information, Quantum Information, Bioinformatics and Biosemiotics, Theory of Mind, Systems Theory, Internet Research, and many more. -
10, June 5, 1981 ------The Address of the ASC Is: 2131 G St
Newsletter of the American Society for Cybernetics I Roger Conant. Editor ~ 1108 SEO. UICC Box 4348 11" Chicago.IL 60680 312+996-2308 Number 10, June 5, 1981 ----------------------------------------------------------------------- The address of the ASC is: 2131 G St. N.W., Washington DC 20052. ----------------------------------------------------------------------- THE NEW C~BERNETICS ASC Annual Meeting Finally, we hope to keep the registration Marvin Center, George Washington University fee as low as possible. However, due to October 30 - November 3, 1981 the difficulty in planning space require Program Chairperson - Larry Richards ments at the Marvin Center we urge you to register as soon as possible and will pro vide a discount for those who submit their The program for the first annual meeting registration materials at least one month of the ASC in a number of years is now in advance of the meeting. If you have being finalized. You should receive a any suggestions for enhancing the quality program announcement and registration form of our society's first major conference, semetime in July. Due to unanticipated, or if you have any questions, please feel but extremely encouraging, interest in free to contact me. participating in the conference, we may extend its length to four days as opposed Dr. Laurence D. Richards to the original plan of thr ~ e days. Department of Administrative Science Colby College The program is shaping up to be indeed Waterville,Maine 04901 very exciting, with such well known per phone: 207/873-1131x587 sonalitis as Heinz von Foerster, Ernst von Glasersfeld, Lars LÖfgren, Russell Ackoff, Lillian Schwartz, Paul Rubinyi, Gerrit Broekstra, Klaus Krippendorff, Robert Lilienfeld, Herbert BrÜn, and Roberto Canete already agreeing to participate in various ways. -
Constructing Artificial Intelligence Paul Edwards, the Closed World
* c 4 1 v. N > COMPUTERS . discourse »"• "u m com *»» *l't"'tA PAUL N. EDWARDS The Closed World Inside Technology edited by Wiebe E. Bijker, W. Bernard Carlson, and Trevor Pinch Wiebe E. Bijker, Of Bicycles, Bahelites, and Bulbs: Toward a Theory of Sociotechnical Change Wiebe E. Bijker and John Law, editors, Shaping Technology/Building Society: Studies m Sociotechnical Change Stuart S. Blume, Insight and Industry: On the Dynamics of Technological Change in Medicine Louis L. Bucciarelli, Designing Engineers Geoffrey C. Bowker, Science on the Run: Information Management and Industrial Geophysics at Schlumberger, 1920-1940 H. M. Collins, Artificial Experts: Social Knowledge and Intelligent Machines Paul N. Edwards, The Closed World: Computers and the Politics of Discourse in Cold War America Pamela E. Mack, Viewing the Earth: The Social Construction of the Landsat Satellite System Donald MacKenzie, Inventing Accuracy: A Historical Sociology of Nuclear Missile Guidance Donald MacKenzie, Knowing Machines: Essays on Technical Change The Closed World Computers and the Politics of Discourse in Cold War America Paul N. Edwards The MIT Press Cambridge, Massachusetts London, England ©1996 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form or by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. This book was set in Baskerville by Pine Tree Composition, Inc. and printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Edwards, Paul N. The closed world : computers and the politics of discourse in Cold War America / Paul N. -
The Intellectual Journey of Hua Loo-Keng from China to the Institute for Advanced Study: His Correspondence with Hermann Weyl
ISSN 1923-8444 [Print] Studies in Mathematical Sciences ISSN 1923-8452 [Online] Vol. 6, No. 2, 2013, pp. [71{82] www.cscanada.net DOI: 10.3968/j.sms.1923845220130602.907 www.cscanada.org The Intellectual Journey of Hua Loo-keng from China to the Institute for Advanced Study: His Correspondence with Hermann Weyl Jean W. Richard[a],* and Abdramane Serme[a] [a] Department of Mathematics, The City University of New York (CUNY/BMCC), USA. * Corresponding author. Address: Department of Mathematics, The City University of New York (CUN- Y/BMCC), 199 Chambers Street, N-599, New York, NY 10007-1097, USA; E- Mail: [email protected] Received: February 4, 2013/ Accepted: April 9, 2013/ Published: May 31, 2013 \The scientific knowledge grows by the thinking of the individual solitary scientist and the communication of ideas from man to man Hua has been of great value in this respect to our whole group, especially to the younger members, by the stimulus which he has provided." (Hermann Weyl in a letter about Hua Loo-keng, 1948).y Abstract: This paper explores the intellectual journey of the self-taught Chinese mathematician Hua Loo-keng (1910{1985) from Southwest Associ- ated University (Kunming, Yunnan, China)z to the Institute for Advanced Study at Princeton. The paper seeks to show how during the Sino C Japanese war, a genuine cross-continental mentorship grew between the prolific Ger- man mathematician Hermann Weyl (1885{1955) and the gifted mathemati- cian Hua Loo-keng. Their correspondence offers a profound understanding of a solidarity-building effort that can exist in the scientific community. -
Systems Theory
1 Systems Theory BRUCE D. FRIEDMAN AND KAREN NEUMAN ALLEN iopsychosocial assessment and the develop - nature of the clinical enterprise, others have chal - Bment of appropriate intervention strategies for lenged the suitability of systems theory as an orga - a particular client require consideration of the indi - nizing framework for clinical practice (Fook, Ryan, vidual in relation to a larger social context. To & Hawkins, 1997; Wakefield, 1996a, 1996b). accomplish this, we use principles and concepts The term system emerged from Émile Durkheim’s derived from systems theory. Systems theory is a early study of social systems (Robbins, Chatterjee, way of elaborating increasingly complex systems & Canda, 2006), as well as from the work of across a continuum that encompasses the person-in- Talcott Parsons. However, within social work, sys - environment (Anderson, Carter, & Lowe, 1999). tems thinking has been more heavily influenced by Systems theory also enables us to understand the the work of the biologist Ludwig von Bertalanffy components and dynamics of client systems in order and later adaptations by the social psychologist Uri to interpret problems and develop balanced inter - Bronfenbrenner, who examined human biological vention strategies, with the goal of enhancing the systems within an ecological environment. With “goodness of fit” between individuals and their its roots in von Bertalanffy’s systems theory and environments. Systems theory does not specify par - Bronfenbrenner’s ecological environment, the ticular theoretical frameworks for understanding ecosys tems perspective provides a framework that problems, and it does not direct the social worker to permits users to draw on theories from different dis - specific intervention strategies.