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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. -
Introduction to Cybernetics and the Design of Systems
Introduction to Cybernetics and the Design of Systems © Hugh Dubberly & Paul Pangaro 2004 Cybernetics named From Greek ‘kubernetes’ — same root as ‘steering’ — becomes ‘governor’ in Latin Steering wind or tide course set Steering wind or tide course set Steering wind or tide course set Steering wind or tide course set correction of error Steering wind or tide course set correction of error Steering wind or tide course set correction of error correction of error Steering wind or tide course set correction of error correction of error Steering wind or tide course set correction of error correction of error Cybernetics named From Greek ‘kubernetes’ — same root as ‘steering’ — becomes ‘governor’ in Latin Cybernetic point-of-view - system has goal - system acts, aims toward the goal - environment affects aim - information returns to system — ‘feedback’ - system measures difference between state and goal — detects ‘error’ - system corrects action to aim toward goal - repeat Steering as a feedback loop compares heading with goal of reaching port adjusts rudder to correct heading ship’s heading Steering as a feedback loop detection of error compares heading with goal of reaching port adjusts rudder feedback to correct heading correction of error ship’s heading Automation of feedback thermostat heater temperature of room air Automation of feedback thermostat compares to setpoint and, if below, activates measured by heater raises temperature of room air The feedback loop ‘Cybernetics introduces for the first time — and not only by saying it, but -
Guide to the Systems Engineering Body of Knowledge (Sebok) Version 1.3
Guide to the Systems Engineering Body of Knowledge (SEBoK) version 1.3 Released May 30, 2014 Part 2: Systems Please note that this is a PDF extraction of the content from www.sebokwiki.org Copyright and Licensing A compilation copyright to the SEBoK is held by The Trustees of the Stevens Institute of Technology ©2014 (“Stevens”) and copyright to most of the content within the SEBoK is also held by Stevens. Prominently noted throughout the SEBoK are other items of content for which the copyright is held by a third party. These items consist mainly of tables and figures. In each case of third party content, such content is used by Stevens with permission and its use by third parties is limited. Stevens is publishing those portions of the SEBoK to which it holds copyright under a Creative Commons Attribution-NonCommercial ShareAlike 3.0 Unported License. See http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US for details about what this license allows. This license does not permit use of third party material but gives rights to the systems engineering community to freely use the remainder of the SEBoK within the terms of the license. Stevens is publishing the SEBoK as a compilation including the third party material under the terms of a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0). See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details about what this license allows. This license will permit very limited noncommercial use of the third party content included within the SEBoK and only as part of the SEBoK compilation. -
Collection System Manager
CITY OF DALY CITY JOB SPECIFICATION EXEMPT POSITION COLLECTION SYSTEM MANAGER DEFINITION Under the general direction of the Director of Water and Wastewater Resources or authorized representative, supervises all activities of the Collection System Maintenance Division, including wastewater collection and recycled water systems, and performs other duties as assigned. EXAMPLES OF DUTIES Manage, supervise, schedule, and review the work of maintenance personnel in the maintenance, inspection and repair of wastewater collection and recycled water distribution systems in the Collection System Maintenance Division of the Department of Water and Wastewater Resources; ensure safe, efficient and effective compliance with local, state and federal laws, rules and regulations, and industrial practices. Implement City, Department and Division Rules and Regulations, policies, procedures and practices. Ensure that required records are accurately maintained. Oversee a comprehensive preventive maintenance program of facilities. Ensure that supervisors conduct regular safety training and maintain a safe work environment. Develop and maintain training programs for employees; ensure that employees maintain required certification. Formally evaluate or ensure the evaluation and satisfactory job performance of assigned employees. Manage crews in support of City departments in maintenance operations, such as the storm drain collection system maintenance and construction program. Work to complete Department and Division goals and objectives. Prepare and manage the Division budget; propose, develop and manage capital projects and manage contracts for the Division. Prepare reports, and make presentations to the City Manager, City Council or others as required. When required, maintain 24-hour availability to address Division emergencies. Develop and maintain good working relationships with supervisors, coworkers, elected officials, professional peer groups and the public. -
Rocket D3 Database Management System
datasheet Rocket® D3 Database Management System Delivering Proven Multidimensional Technology to the Evolving Enterprise Ecient Performance: C#, and C++. In addition, Java developers can access Delivers high performance via Proven Technology the D3 data files using its Java API. The MVS Toolkit ecient le management For over 30 years, the Pick Universal Data Model (Pick provides access to data and business processes via that requires minimal system UDM) has been synonymous with performance and and memory resources both SOAP and RESTful Web Services. reliability; providing the flexible multidimensional Scalability and Flexibility: database infrastructure to develop critical transac- Scales with your enterprise, tional and analytical business applications. Based on from one to thousands of Why Developers the Pick UDM, the Rocket® D3 Database Manage- users ment System offers enterprise-level scalability and Choose D3 D3 is the choice of more than a thousand applica- Seamless Interoperability: efficiency to support the dynamic growth of any tion developers world-wide—serving top industries Interoperates with varied organization. databases and host including manufacturing, distribution, healthcare, environments through government, retail, and other vertical markets. connectivity tools Rapid application development and application Rocket D3 database-centric development environ- customization requires an underlying data structure Data Security: ment provides software developers with all the that can respond effectively to ever-changing Provides secure, simultaneous necessary tools to quickly adapt to changes and access to the database from business requirements. Rocket D3 is simplistic in its build critical business applications in a fraction of the remote or disparate locations structure, yet allows for complex definitions of data time as compared to other databases; without worldwide structures and program logic. -
Success in Acquisition: Using Archetypes to Beat the Odds
Success in Acquisition: Using Archetypes to Beat the Odds William E. Novak Linda Levine September 2010 TECHNICAL REPORT CMU/SEI-2010-TR-016 ESC-TR-2010-016 Acquisition Support Program Unlimited distribution subject to the copyright. http://www.sei.cmu.edu This report was prepared for the SEI Administrative Agent ESC/XPK 5 Eglin Street Hanscom AFB, MA 01731-2100 The ideas and findings in this report should not be construed as an official DoD position. It is published in the interest of scientific and technical information exchange. This work is sponsored by the U.S. Department of Defense. The Software Engineering Institute is a federally funded research and development center sponsored by the U.S. Department of Defense. Copyright 2010 Carnegie Mellon University. NO WARRANTY THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN “AS-IS” BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. Use of any trademarks in this report is not intended in any way to infringe on the rights of the trademark holder. Internal use. Permission to reproduce this document and to prepare derivative works from this document for inter- nal use is granted, provided the copyright and “No Warranty” statements are included with all reproductions and derivative works. External use. -
Chapter XIII Modeling with System Archetypes: a Case Study
Chapter XIII Modeling with System Archetypes: A Case Study Mahendran Maliapen IGate Consulting, Canada ABSTRACT This chapter examines the application of system archetypes as a systems development methodology to create simulation models. Rapid organizational change and need to adapt to new business models limits the lifespan of both the databases and software applications. With the information representa- tion permitted by archetypes, diagnostic analysis and can help to evolve generic classes and models for representing the real world. Archetypes do not describe any one problem specifically. They describe families of problems generically. Their value comes from the insights they offer into the dynamic inter- action of complex systems. The case of a healthcare system is discussed here. As part of a suite of tools, they are extremely valuable in developing broad understandings about the hospital and its environment, and contribute more effectively to understanding problems. They are highly effective tools for gaining insight into patterns of strategic behavior, themselves reflective of the underlying structure of the system being studied. Diagnostically, archetypes help hospital managers recognize patterns of behavior that are already present in their organizations. They serve as the means for gaining insight into the underlying systems structures from which the archetypal behavior emerges. In the casemix model of the hospital, the investigation team discovered that some of the phenomena as described by these generic archetypes could be represented. The application of system archetypes to the strategic business analysis of the hos- pital case reveals that it is possible to identify loop holes in management’s strategic thinking processes and it is possible to defy these fallacies during policy implementation as illustrated by the results of the archetype simulation model. -
Systems Thinking in the Healthcare Professions: a Guide for Educators and Clinicians Margaret M
Himmelfarb Health Sciences Library, The George Washington University Health Sciences Research Commons Teaching and Learning Tools Educational Resources 3-30-2019 Systems Thinking in the Healthcare Professions: A Guide for Educators and Clinicians Margaret M. Plack, PT, DPT, EdD George Washington University Ellen F. Goldman, EdD, MBA, George Washington University Andrea Richards Scott, EdD, MBA George Washington University Shelley B. Brundage, PhD, CCC-SLP George Washington University Follow this and additional works at: https://hsrc.himmelfarb.gwu.edu/ educational_resources_teaching Part of the Education Commons, and the Medical Education Commons Recommended Citation Plack, M. M., Goldman, E. F., Scott, A. R., & Brundage, S. B. (2019). Systems thinking in the healthcare professions: A guide for educators and clinicians. Washington, DC: The George Washington University. This Book is brought to you for free and open access by the Educational Resources at Health Sciences Research Commons. It has been accepted for inclusion in Teaching and Learning Tools by an authorized administrator of Health Sciences Research Commons. For more information, please contact [email protected]. Systems Thinking in the Healthcare Professions A GUIDE FOR EDUCATORS AND CLINICIANS Margaret M. Plack, PT, DPT, EdD, Ellen F. Goldman, EdD, MBA, Andrea Richards Scott, EdD, MBA, and Shelley B. Brundage, PhD, CCC-SLP March 30, 2019 Copyright © 2019, The George Washington University. This monograph is freely available for individual use but cannot be reproduced without permission of the authors. Contact information: Ellen F. Goldman, EdD, MBA, [email protected]. Suggested citation: Plack, M. M., Goldman, E. F., Scott, A. R., & Brundage, S. B. (2019). Systems thinking in the healthcare professions: A guide for educators and clinicians. -
Fixes That Fail: Why Faster Is Slower Daniel H
Fixes that Fail: Why Faster is Slower Daniel H. Kim from Volume 10, No. 3 of The Systems Thinker® Newsletter ost of us are familiar with the paradox “solve” this shortfall. Unfortunately, the Mthat asks, “Why is it that we don’t have additional debt increases their monthly credit- the time to do things right in the first place, but card payments, causing them to run short of we have time to fix them over and over again?” cash the next month. They again “fix” the Or, more generally speaking, why do we keep problem by using their credit card to cover an solving the same problems time after time? The even greater shortfall (because more dollars are “Fixes That Fail” archetype highlights how we going to pay the finance charges on the debt). can get caught in a dynamic that reinforces the Many juggle their debt among several credit need to continually implement quick fixes. cards by paying one card off with checks written The “Fixes That Fail” Storyline In this on another. But with each round, the debt structure, a problem symptom gets bad enough burden grows heavier and heavier, which may that it captures our attention; for example, a be why we currently have the highest consumer slump in sales. We implement a quick fix (a debt levels in history and record personal slick marketing promotion) that makes the bankruptcies—all in a booming economy! This symptom go away (sales improve). However, is the basic storyline of the “Fixes That Fail” that action triggers unintended consequences archetype. -
The Evolution of System Reliability Optimization David Coit, Enrico Zio
The evolution of system reliability optimization David Coit, Enrico Zio To cite this version: David Coit, Enrico Zio. The evolution of system reliability optimization. Reliability Engineering and System Safety, Elsevier, 2019, 192, pp.106259. 10.1016/j.ress.2018.09.008. hal-02428529 HAL Id: hal-02428529 https://hal.archives-ouvertes.fr/hal-02428529 Submitted on 8 Apr 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Accepted Manuscript The Evolution of System Reliability Optimization David W. Coit , Enrico Zio PII: S0951-8320(18)30602-1 DOI: https://doi.org/10.1016/j.ress.2018.09.008 Reference: RESS 6259 To appear in: Reliability Engineering and System Safety Received date: 14 May 2018 Revised date: 26 July 2018 Accepted date: 7 September 2018 Please cite this article as: David W. Coit , Enrico Zio , The Evolution of System Reliability Optimization, Reliability Engineering and System Safety (2018), doi: https://doi.org/10.1016/j.ress.2018.09.008 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. -
The Safe System Approach Aims to Y N I L S U Eliminate Fatal & Serious Injuries for All Road Users
INJURY IS IOUS UNAC ER CEP H/S TA AT BL DE E THE H L U IA M C A U N R S C M S I A Y K C Safe Road Safe E SAFE N M A Users Vehicles I S D T N A U K D E SYSTEM E S R THE APPROACH SAFE SYSTEM APPROACH Zero is our goal. A Safe System E is how we will get there. L S A Post-Crash Safe B F A Imagine a world where nobody has to die from E Care Speeds R T E vehicle crashes. The Safe System approach aims to Y N I L S U eliminate fatal & serious injuries for all road users. It P V R does so through a holistic view of the road system that O E A R first anticipates human mistakes and second keeps C A T Safe S I N impact energy on the human body at tolerable levels. V A E Roads M Safety is an ethical imperative of the designers and owners U of the transportation system. Here’s what you need to know H to bring the Safe System approach to your community. RE D SPO RE NSIBILITY IS SHA SAFE SYSTEM PRINCIPLES Death/Serious Injury Humans Humans Are is Unacceptable Make Mistakes Vulnerable While no crashes are desirable, the People will inevitably make mistakes People have limits for tolerating crash Safe System approach prioritizes that can lead to crashes, but the forces before death and serious injury crashes that result in death and transportation system can be designed occurs; therefore, it is critical to serious injuries, since no one should and operated to accommodate human design and operate a transportation experience either when using the mistakes and injury tolerances and system that is human-centric and transportation system. -
Is It Time to Bury the Ecosystem Concept? (With Full Military Honors, of Course!)1
Ecology, 82(12), 2001, pp. 3275±3284 q 2001 by the Ecological Society of America IS IT TIME TO BURY THE ECOSYSTEM CONCEPT? (WITH FULL MILITARY HONORS, OF COURSE!)1 ROBERT V. O'NEILL Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6036 USA ROBERT V. O'NEILL, MacArthur Award Recipient, 1999 Abstract. The ecosystem concept has become a standard paradigm for studying eco- logical systems. Underlying the ecosystem concept is a ``machine analogy'' derived from Systems Analysis. This analogy is dif®cult to reconcile with our current understanding of ecological systems as metastable adaptive systems that may operate far from equilibrium. This paper discusses some logical and scienti®c problems associated with the ecosystem concept, and suggests a number of modi®cations in the paradigm to address these problems. Key words: ecosystem; ecosystem stability; ecosystem theory; ecotone; Homo sapiens; natural selection; system dynamics; Systems Analysis. INTRODUCTION cosm, a relatively closed, self-regulating system, an The term ecosystem was coined by Tansley in 1935. archetypic ecosystem. But as Botkin (1990) points out, the underlying concept Science emerged from the Second World War with goes back at least to Marsh (1864). Nature was viewed a new paradigm, Systems Analysis (e.g., Bode 1945), as relatively constant in the face of change and repaired which seemed uniquely suited for this ``balance of na- itself when disrupted, returning to its previous balanced ture'' concept, and ®t well with earlier work on the state. Clements (1905, 1916) and Elton (1930) offered stability of interacting populations (Nicholson and Bai- plant and animal succession as basic processes that ley 1935).