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Moving Towards a New Urban Systems Science
Ecosystems DOI: 10.1007/s10021-016-0053-4 Ó 2016 Springer Science+Business Media New York 20TH ANNIVERSARY PAPER Moving Towards a New Urban Systems Science Peter M. Groffman,1* Mary L. Cadenasso,2 Jeannine Cavender-Bares,3 Daniel L. Childers,4 Nancy B. Grimm,5 J. Morgan Grove,6 Sarah E. Hobbie,3 Lucy R. Hutyra,7 G. Darrel Jenerette,8 Timon McPhearson,9 Diane E. Pataki,10 Steward T. A. Pickett,11 Richard V. Pouyat,12 Emma Rosi-Marshall,11 and Benjamin L. Ruddell13 1Department of Earth and Environmental Sciences, City University of New York Advanced Science Research Center and Brooklyn College, New York, New York 10031, USA; 2Department of Plant Sciences, University of California, Davis, California 95616, USA; 3Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, Minnesota 55108, USA; 4School of Sustain- ability, Arizona State University, Tempe, Arizona 85287, USA; 5School of Life Sciences and Global Institute of Sustainability, Arizona State University, Tempe, Arizona 85287, USA; 6USDA Forest Service, Baltimore Field Station, Baltimore, Maryland 21228, USA; 7Department of Earth and Environment, Boston University, Boston, Massachusetts 02215, USA; 8Department of Botany and Plant Sciences, University of California Riverside, Riverside, California 92521, USA; 9Urban Ecology Lab, Environmental Studies Program, The New School, New York, New York 10003, USA; 10Department of Biology, University of Utah, Salt Lake City, Utah 84112, USA; 11Cary Institute of Ecosystem Studies, Millbrook, New York 12545, USA; 12USDA Forest Service, Research and Development, District of Columbia, Washington 20502, USA; 13School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona 86001, USA ABSTRACT Research on urban ecosystems rapidly expanded in linchpins in the further development of sustain- the 1990s and is now a central topic in ecosystem ability science and argue that there is a strong need science. -
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. -
A Dictionary of Cybernetics
Annenberg School for Communication Departmental Papers (ASC) University of Pennsylvania Year 1986 A Dictionary of Cybernetics Klaus Krippendorff University of Pennsylvania, kkrippendorff@asc.upenn.edu This paper is posted at ScholarlyCommons. http://repository.upenn.edu/asc papers/224 A DICTIONARY OF CYBERNETICS by Klaus Krippendorff University of Pennsylvania version 2/2/86 A dictionary like the discipline whose terminology it aims to clarify is constantly in flux. It is aided by communal efforts and in turn aids communication within the community of users. Critical comments and suggestions, especially for including new or omitting useless entries, for improving the wording, for references that may need to be added should be directed to: Klaus Krippendorff The Annenberg School of Communications University of Pennsylvania Philadelphia PA 19104 NOTE: This dictionary is not intended to represent the American Society for Cybernetics nor the opinions of any of its members: neither does it replace the current Cybernetics Glossary. Klaus Krippendorff has been kind enough to make his work available to ASC members in order to stimulate discussion on the language of cybernetics. as well as on the idea of a dictionary itself. ABSOLUTE DISCRIMINATION: ->LIMIT OF ABSOLUTE DISCRIMINATION ADAPTATION: STABILITY of success in the face of a changing environment. Two kinds of adaptation are distinguished. (a) Darwinian adaptation after Darwin who observed how organisms change their internal STRUCTURE when their environment makes existing forms no longer viable. E.g., Ashby's HOMEOSTAT searches for a new pattern of behavior as soon as disturbances in its surroundings drive or threaten to drive its essential VARIABLEs outside specified limits. -
1 Umpleby Stuart Reconsidering Cybernetics
UMPLEBY STUART RECONSIDERING CYBERNETICS The field of cybernetics attracted great attention in the 1950s and 1960s with its prediction of a Second Industrial Revolution due to computer technology. In recent years few people in the US have heard of cybernetics (Umpleby, 2015a, see Figures 1 and 2 at the end of Paper). But a wave of recent books suggests that interest in cybernetics is returning (Umpleby and Hughes, 2016, see Figure at the end of Paper). This white paper reviews some basic ideas in cybernetics. I recommend these and other ideas as a resource for better understanding and modeling of social systems, including threat and response dynamics. Some may claim that whatever was useful has already been incorporated in current work generally falling under the complexity label, but that is not the case. Work in cybernetics has continued with notable contributions in recent years. Systems science, complex systems, and cybernetics are three largely independent fields with their own associations, journals and conferences (Umpleby, 2017). Four types of descriptions used in social science After working in social science and systems science for many years I realized that different academic disciplines use different basic elements. Economists use measurable variables such as price, savings, GDP, imports and exports. Psychologists focus on ideas, concepts and attitudes. Sociologists and political scientists focus on groups, organizations, and coalitions. Historians and legal scholars emphasize events and procedures. People trained in different disciplines construct different narratives using these basic elements. One way to reveal more of the variety in a social system is to create at least four descriptions – one each using variables, ideas, groups, and events (See the figures and tables in Medvedeva & Umpleby, 2015). -
Towards a Cybernetic Foundation for Natural Resource Governance
Towards a Cybernetic Foundation for Natural Resource Governance A Thesis Presented to the Academic Faculty by Talha Manzoor In Partial Fullfilment of the Requirements for the Degree of Doctor of Philosophy in Electrical Engineering Supervisor: Abubakr Muhammad (LUMS) Co-supervisor: Elena Rovenskaya (IIASA) arXiv:1803.09369v1 [cs.SY] 20 Mar 2018 Syed Babar Ali School of Science and Engineering Lahore University of Management Sciences December 2017 © 2017 by Talha Manzoor To Marwa and her never-ending quest for adventure. Abstract This study explores the potential of the cybernetic method of inquiry for the problem of natural resource governance. The systems way of thinking has already enabled scientists to gain considerable headway in framing global environmental challenges. On the other hand, technical solutions to environmental problems have begun to show significant promise, driven by the advent of technology and its increased proliferation in coupled human and natural systems. Such settings lie on the interface of engineering, social and environmental sciences, and as such, require a common language in order for natural resources to be studied, managed and ultimately sustained. In this dissertation, we argue that the systems theoretic tradition of cybernetics may provide the necessary common ground for examining such systems. After discussing the relevance of the cybernetic approach to natural resource governance, we present a mathematical model of resource consumption, grounded in social psychological research on consumer behavior. We also provide interpretations of the model at various levels of abstraction in the social network of the consuming population. We demonstrate the potential of the model by examining it in various theoretic frameworks which include dynamical systems, optimal control theory, game theory and the theory of learning in games. -
The Applications of Systems Science
The Applications of Systems Science Understanding How the World Works and How You Work In It Motivating Question • What does it mean to UNDERSTAND? – Feeling of understanding – listening to a lecture or reading a book – Using understanding – solving a problem or creating an artifact – Understanding processes – predicting an outcome Understanding • Various categories of what we call knowledge – Knowing What*: facts, explicit, episodic knowledge • Conscious remembering – Knowing How: skills, tacit knowledge • Performance of tasks, reasoning – Knowing That: concepts, relational knowledge • Connecting different concepts – Knowing Why: contexts, understanding • Modeling and explaining • Thinking is the dynamics of the interactions between these various categories • Competencies based on strength of cognitive capabilities * Includes knowing when and where The System of Knowledge and Knowing An example of a “Concept Map” Knowing Why contexts modeling understanding explaining Thinking remembering connecting performing Knowing That concepts relational knowledge Knowing What Knowing How facts skills explicit knowledge tacit knowledge Perceiving, Learning, & Memory recognizing encoding linking recalling Cognitive Capabilities Thinking • Thinking capabilities depend on general cognition models – Critical thinking • Skepticism, recognizing biases, evidence-based, curiosity, reasoning – Scientific thinking • Critical thinking + testing hypotheses, analyzing evidence, formal modeling – Systems thinking • Scientific thinking + holistic conceptualization, -
Lynn Segal the Dream of Reality Heinz Von Foerster's Constructivism
The Dream of Reality Heinz von Foerster's Constructivism Second Edition Springer Science+Business Media, LLC Lynn Segal The Dream of Reality Heinz von Foerster's Constructivism Second Edition With Forewords by Heinz von Foerster and Paul Watzlawick With 20 Illustrations Springer Lynn Segal 1080 San Mateo Drive Menlo Park, CA 94025 USA Library of Congress Cataloging-in-Publication Data Segal, Lynn. The dream of reality : Heinz von Foerster's constructivism / Lynn Segal.-2nd ed. p. cm. lncludes bibliographical references and index. ISBN 978-0-387-95130-0 ISBN 978-1-4613-0115-8 (eBook) DOI 10.1007/978-1-4613-0115-8 1. von Foerster, Heinz, 1911-= 2. Constructivism (Philosophy) 1. Title. B809.13 .S44 2001 121'.092-dc21 00-061269 Printed on acid-free paper. First edition published 1986 WW Norton, NY © Lynn Segal. © 2001 Springer Science+Business Media New York Originally published by Springer-Verlag New York, Inc. in 2001 AlI rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form ofinformation storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter de veloped is forbidden. The use of general descriptive names, trade names, trademarks, etc., in this publication, even if the former are not especially identified, is not to be taken as a sign that such names, as understood by the Trade Marks and Merchandise Marks Act, may accordingly be used freely by anyone. -
Biological and Environmental Systems Science
Biological and Environmental Systems Science Oak Ridge National Laboratory’s (ORNL’s) Biological and Environmental Systems Science Directorate (BESSD) leads convergence research in biology, ecology, 145 engineering, data discovery, physical sciences, and computing to advance Scientists and engineers US competitiveness in the global bioeconomy and Earth system sustainability. Our researchers collaborate with experts across the Laboratory and in industry 20 Research and academia to advance renewable energy solutions, improve Earth system groups models, and push the frontiers of systems and synthetic biology. Focus areas include understanding how genes influence ecosystem-level processes; learning more about how biodiversity shapes the world 1,689 around us; developing novel, secure biodesign tools and testbeds for Journal publications in enzyme engineering; applying the world’s fastest supercomputers to the past 5 years transform biological and environmental data into knowledge; advancing signature technologies for dynamic characterization of complex biological and environmental systems; and applying emerging capabilities that 38 promise to transform how science is done through automated, data-rich, and Patents in the past 5 years interconnected systems. Through our R&D, we aim to strengthen the nation’s economic competitiveness, 4 enable resilient and sustainable economies, and facilitate stewardship of managed Governor’s and natural resources. Chairs “We harness next-generation tools in biology, ecology, data analytics, neutron, and computational sciences to translate fundamental understanding into models that advance scientific discovery.” Stan Wullschleger, Associate Laboratory Director Our Research Environmental Sciences—Our researchers expand scientific knowledge and develop innovative strategies and technologies that help sustain Earth’s natural resources. Biosciences—Our scientists advance knowledge discovery and develop technology to characterize and engineer complex biological systems that benefit the environment and our bioeconomy. -
Good Cybernetics Is a Must in Policy Processes
Good social cybernetics is a must in policy processes. Structured Abstract: Purpose Illustrate supported by Beer’s Viable System Model and four vignettes the relevance of self-organisation, recursive structures, self-reference and reflexivity in policy processes. Design, Methodology, Approach First, the concepts of self-organisation, recursive structures, self-reference and reflexivity are briefly discussed to ground policy processes in good cybernetics. Then, with the support of four vignettes, the idea of good cybernetics in policies processes is illustrated. Findings The cybernetics of policy processes is often ignored. Limitations If the purpose of this paper were to influence policy-makers it would be necessary to further the empirical base of the four vignettes and clarify desirable forums to ground the relevance of self-organisation, recursive structures, self-reference and reflexivity in policy processes. Practical and Social Implications Beer’s recursive structures, self-reference and reflexivity have much to contribute to the betterment of policy processes and the amelioration of the unbearable social and organisational costs of many current policies. Originality The application of concepts such as self-organisation, recursive structures, self-reference and reflexivity adds to our understanding of policy processes. Keywords: Viable System Model, policy processes, self-organisation, structural recursion, self-reference, reflexivity Article Classification: Conceptual paper Introduction Policy processes are necessary to respond to issues such as development of clean energy, child care, transparent marketing, economic development and so forth. Multiple social and economic agents interact in the creation, regulation and production of these policies and through these interactions, mostly by self-organisation, they produce organisational systems. Self-organisation brings together social agents as they find common purposes and recognise the need to interact. -
Fruits of Gregory Bateson's Epistemological Crisis
Fruits of Gregory Bateson’s Epistemological Crisis: Embodied Mind-Making and Interactive Experience in Research and Professional Praxis David Russell Sydney and Blackheath, Australia Ray Ison The Open University, UK ABSTRACT Background: The espoused rationale for this special issue, situated “at the margins of cy - bernetics,” was to revisit and extend the common genealogy of cybernetics and communica - tion studies. Two possible topics garnered our attention: 1) the history of intellectual adventurers whose work has appropriated cybernetic concepts; and 2) the remediation of cy - bernetic metaphors. Analysis: A heuristic for engaging in first- and second-order R&D praxis, the design of which was informed by co-research with pastoralists (1989–1993) and the authors’ engagements with the scholarship of Bateson and Maturana, was employed and adapted as a reflexive in - quiry framework. Conclusion and implications: This inquiry challenges the mainstream desire for change and the belief in getting the communication right in order to achieve change. The authors argue this view is based on an epistemological error that continues to produce the very prob - lems it intends to diminish, and thus we live a fundamental error in epistemology, false on - tology, and misplaced practice. The authors offer instead conceptual and praxis possibilities for triggering new co-evolutionary trajectories. Keywords: Reflexive praxis; Experience; Distinctions; Critical incidents; Maturana RÉSUMÉ Contexte La raison d’être de ce numéro spécial « aux marges de la cybernétique » était de revisiter et d’étoffer la généalogie partagée de la cybernétique et des études en communication. Deux sujets possibles ont retenu notre attention : 1) l’histoire d’explorateurs intellectuels qui ont emprunté certains concepts à la cybernétique; et 2) la rectification de métaphores cybernétiques. -
Feedback Systems: an Introduction for Scientists and Engineers
Feedback Systems: An Introduction for Scientists and Engineers Karl Johan Astrĺ om Department of Automatic Control Lund Institute of Technology Richard M. Murray Control and Dynamical Systems California Institute of Technology DRAFT v0.915, 26 September 2004 c 2004 Karl Johan Astrĺ om and Richard Murray All rights reserved. This manuscript is for review purposes only and may not be reproduced, in whole or in part, without written consent from the authors. ii Preface This book provides an introduction to the basic principles and tools for design and analysis of feedback systems. It is intended to serve a diverse audience of scientists and engineers who are interested in understanding and utilizing feedback in physical, biological, information, and economic systems. To this end, we have chosen to keep the mathematical pre-requisites to a minimum while being careful not to sacri¯ce rigor in the process. Advanced sections, marked by the \dangerous bend" symbol shown to the right indi- cate material that is of a more advanced nature and can be skipped on ¯rst Ä reading. This book was originally developed for use in an experimental course at Caltech involving undergraduates and graduate students from a wide variety of disciplines. The course included undergraduates at the junior and senior level in traditional engineering disciplines, as well as ¯rst and second year graduate students in engineering and science. This included graduate students in biology, computer science, and economics, requiring a broad approach that emphasized basic principles and did not focus on applications in a given area. A detailed web site has been prepared as a companion to this text: http://www.cds.caltech.edu/~murray/books/am04 The web site contains the MATLAB and other source code for every example in the book, as well as MATLAB libraries to implement the techniques described in the text. -
Constructivism in Math and Science Education. PUB DATE Jan 87 NOTE 37P
DOCUMENT RESUME ED 290 616 SE 048 847 AUTHOR Narode, Ronald B. TITLE Constructivism in Math and Science Education. PUB DATE Jan 87 NOTE 37p. PUB TYPE Reports Descriptive (141) -- Information Analyses (070) EDRS PRICE MF01/PCO2 plus Postage. DESCRIPTORS Cognitive Development; *Cognitive Structures; Concept Formation; Elementary School Mathematics; Elementary School Science; Elementary Secondary Education; *Epistemology; *Learning Theories; Mathematics Education; *Mathematics Instruction; *Piagetian Theory; Science Education; *Science Instruction; Secondary School Mathematics; Secondary School Science IDENTIFIERS *Constructivism ABSTRArT Beneath educational pedagogies lie philosophical assumptions about the nature of learning, knowledge, truth and morality. These different philosophies form the foundations of a variety of instructional programs in all academic disciplines. This paper addresses constructivism, a recent attempt to provide a philosophical pedagogy which affects classroom instruction, teacher training, curricululm development, and educational research It specifically looks at constructivist theory as it relates to mathematics and science education. In so doing, the paper examines: (1) epistemology in the classroom; (2) epistemology in education research; (3) epistemology in mathematics and science faith and skepticism); (4) Piaget's constructivist epistemology; and (5) implications for education. A bibliography is included. (TW) *************%********************************************************* * Reproductions supplied