Systems Archetype Basics: from Story to Structure Is Designed to Help You Discover the Principles of the Archetypes and Begin Actually Using Them
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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 -
What's in a Mental Model of a Dynamic System? Conceptual Structure and Model Comparison
What’s in a mental model of a dynamic system? Conceptual structure and model comparison Martin Schaffernicht Facultad de Ciencias Empresariales Universidad de Talca Avenida Lircay s/n 3460000 Talca, CHILE [email protected] Stefan N. Groesser University of St. Gallen Institute of Management System Dynamics Group Dufourstrasse 40a CH - 9000 St. Gallen, Switzerland Tel: +41 71 224 23 82 / Fax: +41 71 224 23 55 [email protected] Contribution to the International System Dynamics Conference 2009 Albuquerque, NM, U.S.A. Abstract This paper deals with the representation of mental models of dynamic systems (MMDS). Improving ’mental models’ has always been fundamental in the field of system dynamics. Even though a specific definition exists, no conceptual model of the structure of a MMDS has been offered so far. Previous research about the learning effects of system dynamics interventions have used two methods to represent and analyze mental models. To what extend is the result of these methods comparable? Can they be used to account for a MMDS which is suitable for the system dynamics methodology? Two exemplary MMDSs are compared with both methods. We have found that the procedures and results differ significantly . In addition, neither of the methods can account for the concept of feedback loops. Based on this finding, we propose a conceptual model for the structure of a MMDS, a method to compare them, and a revised definition of MMDS. The paper concludes with a call for more substantive research. Keywords : Mental models, dynamic systems, mental model comparison, graph theory, mental model measurement Introduction Mental models have been a key concept in system dynamics from the beginning of the field (Forrester, 1961). -
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. -
Television Academy Awards
2019 Primetime Emmy® Awards Ballot Outstanding Comedy Series A.P. Bio Abby's After Life American Housewife American Vandal Arrested Development Atypical Ballers Barry Better Things The Big Bang Theory The Bisexual Black Monday black-ish Bless This Mess Boomerang Broad City Brockmire Brooklyn Nine-Nine Camping Casual Catastrophe Champaign ILL Cobra Kai The Conners The Cool Kids Corporate Crashing Crazy Ex-Girlfriend Dead To Me Detroiters Easy Fam Fleabag Forever Fresh Off The Boat Friends From College Future Man Get Shorty GLOW The Goldbergs The Good Place Grace And Frankie grown-ish The Guest Book Happy! High Maintenance Huge In France I’m Sorry Insatiable Insecure It's Always Sunny in Philadelphia Jane The Virgin Kidding The Kids Are Alright The Kominsky Method Last Man Standing The Last O.G. Life In Pieces Loudermilk Lunatics Man With A Plan The Marvelous Mrs. Maisel Modern Family Mom Mr Inbetween Murphy Brown The Neighborhood No Activity Now Apocalypse On My Block One Day At A Time The Other Two PEN15 Queen America Ramy The Ranch Rel Russian Doll Sally4Ever Santa Clarita Diet Schitt's Creek Schooled Shameless She's Gotta Have It Shrill Sideswiped Single Parents SMILF Speechless Splitting Up Together Stan Against Evil Superstore Tacoma FD The Tick Trial & Error Turn Up Charlie Unbreakable Kimmy Schmidt Veep Vida Wayne Weird City What We Do in the Shadows Will & Grace You Me Her You're the Worst Young Sheldon Younger End of Category Outstanding Drama Series The Affair All American American Gods American Horror Story: Apocalypse American Soul Arrow Berlin Station Better Call Saul Billions Black Lightning Black Summer The Blacklist Blindspot Blue Bloods Bodyguard The Bold Type Bosch Bull Chambers Charmed The Chi Chicago Fire Chicago Med Chicago P.D. -
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. -
Heroes (TV Series) - Wikipedia, the Free Encyclopedia Pagina 1 Di 20
Heroes (TV series) - Wikipedia, the free encyclopedia Pagina 1 di 20 Heroes (TV series) From Wikipedia, the free encyclopedia Heroes was an American science fiction Heroes television drama series created by Tim Kring that appeared on NBC for four seasons from September 25, 2006 through February 8, 2010. The series tells the stories of ordinary people who discover superhuman abilities, and how these abilities take effect in the characters' lives. The The logo for the series featuring a solar eclipse series emulates the aesthetic style and storytelling Genre Serial drama of American comic books, using short, multi- Science fiction episode story arcs that build upon a larger, more encompassing arc. [1] The series is produced by Created by Tim Kring Tailwind Productions in association with Starring David Anders Universal Media Studios,[2] and was filmed Kristen Bell primarily in Los Angeles, California. [3] Santiago Cabrera Four complete seasons aired, ending on February Jack Coleman 8, 2010. The critically acclaimed first season had Tawny Cypress a run of 23 episodes and garnered an average of Dana Davis 14.3 million viewers in the United States, Noah Gray-Cabey receiving the highest rating for an NBC drama Greg Grunberg premiere in five years. [4] The second season of Robert Knepper Heroes attracted an average of 13.1 million Ali Larter viewers in the U.S., [5] and marked NBC's sole series among the top 20 ranked programs in total James Kyson Lee viewership for the 2007–2008 season. [6] Heroes Masi Oka has garnered a number of awards and Hayden Panettiere nominations, including Primetime Emmy awards, Adrian Pasdar Golden Globes, People's Choice Awards and Zachary Quinto [2] British Academy Television Awards. -
WHY COMPETITION in the POLITICS INDUSTRY IS FAILING AMERICA a Strategy for Reinvigorating Our Democracy
SEPTEMBER 2017 WHY COMPETITION IN THE POLITICS INDUSTRY IS FAILING AMERICA A strategy for reinvigorating our democracy Katherine M. Gehl and Michael E. Porter ABOUT THE AUTHORS Katherine M. Gehl, a business leader and former CEO with experience in government, began, in the last decade, to participate actively in politics—first in traditional partisan politics. As she deepened her understanding of how politics actually worked—and didn’t work—for the public interest, she realized that even the best candidates and elected officials were severely limited by a dysfunctional system, and that the political system was the single greatest challenge facing our country. She turned her focus to political system reform and innovation and has made this her mission. Michael E. Porter, an expert on competition and strategy in industries and nations, encountered politics in trying to advise governments and advocate sensible and proven reforms. As co-chair of the multiyear, non-partisan U.S. Competitiveness Project at Harvard Business School over the past five years, it became clear to him that the political system was actually the major constraint in America’s inability to restore economic prosperity and address many of the other problems our nation faces. Working with Katherine to understand the root causes of the failure of political competition, and what to do about it, has become an obsession. DISCLOSURE This work was funded by Harvard Business School, including the Institute for Strategy and Competitiveness and the Division of Research and Faculty Development. No external funding was received. Katherine and Michael are both involved in supporting the work they advocate in this report. -
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. -
ESD.00 Introduction to Systems Engineering, Lecture 3 Notes
Introduction to Engineering Systems, ESD.00 System Dynamics Lecture 3 Dr. Afreen Siddiqi From Last Time: Systems Thinking • “we can’t do just one thing” – things are interconnected and our actions have Decisions numerous effects that we often do not anticipate or realize. Goals • Many times our policies and efforts aimed towards some objective fail to produce the desired outcomes, rather we often make Environment matters worse Image by MIT OpenCourseWare. Ref: Figure 1-4, J. Sterman, Business Dynamics: Systems • Systems Thinking involves holistic Thinking and Modeling for a complex world, McGraw Hill, 2000 consideration of our actions Dynamic Complexity • Dynamic (changing over time) • Governed by feedback (actions feedback on themselves) • Nonlinear (effect is rarely proportional to cause, and what happens locally often doesn’t apply in distant regions) • History‐dependent (taking one road often precludes taking others and determines your destination, you can’t unscramble an egg) • Adaptive (the capabilities and decision rules of agents in complex systems change over time) • Counterintuitive (cause and effect are distant in time and space) • Policy resistant (many seemingly obvious solutions to problems fail or actually worsen the situation) • Char acterized by trade‐offs (h(the l ong run is often differ ent f rom the short‐run response, due to time delays. High leverage policies often cause worse‐before‐better behavior while low leverage policies often generate transitory improvement before the problem grows worse. Modes of Behavior Exponential Growth Goal Seeking S-shaped Growth Time Time Time Oscillation Growth with Overshoot Overshoot and Collapse Time Time Time Image by MIT OpenCourseWare. Ref: Figure 4-1, J.