Principles of Sociocybernetics -Bernd R. Hornung -Marburg University, Germany European Systems Science Union (ESSU) 6th EUROPEAN CONGRESS ON SYSTEMS SCIENCE.

Slides:



Advertisements
Similar presentations
Fundamentals and History of Cybernetics 1 Stuart A. Umpleby The George Washington University Washington, DC
Advertisements

22nd March 2012 – Kick-off meeting COST Action IS1104: The EU in the new complex geography of economic systems: models, tools and policy evaluation Proponent:
PROCESS MODELLING AND MODEL ANALYSIS © CAPE Centre, The University of Queensland Hungarian Academy of Sciences Analysis of Dynamic Process Models C13.
Bits, Bytes, and Other Distinctions which make a Difference From the Laws of Form to a Sociocybernetic Concept of Information Bernd R. Hornung Giessen.
Russian – American Discussions of Cybernetics and Systems Stuart A. Umpleby The George Washington University Washington, DC.
Understanding the Research Process
PHILOSOPHICAL PERSPECTIVES
Fundamentals and History of Cybernetics 3 Stuart A. Umpleby The George Washington University Washington, DC
Constructivism -v- Realism Is knowledge a reflection of an outside reality or constructed by us? MRes Philosophy of Knowledge: Day 2 - Session 3 (slides.
Philosophy of Research
The role of theory in research
What kind of development research centers Latin America needs? Research organisations and policy making in Latin America Valeria Arza CONICET & CENIT/UNTREF.
Analytical methods for Information Systems Professionals
Autopoietic Theory Self-organization. or Exploring the science of wholeness that nurtures the human spirit.
Using Interfaces to Analyze Compositionality Haiyang Zheng and Rachel Zhou EE290N Class Project Presentation Dec. 10, 2004.
12.1 Frameworks for comparing ISD methodologies IMS Information Systems Development Practices.
Bremen Interactive learning tasks and their technical requirements to multimedia learning systems Sebastian Rudolph & Hermann Körndle TU Dresden.
1 / x Complex Adaptive systems GRS Introduction Arnold Bregt.
Systems approaches Chapter 4. Organization as a system A open, complex set of interdependent parts that interact to adapt to a constantly changing environment.
Business Communication Research Class 1 : What is Research? Leena Louhiala-Salminen, Spring 2013.
Definitions of Reality (ref . Wiki Discussions)
Human Evolution II Session Life A multidisciplinary anthropic focus.
1 Lesson 1 Introduction to Social Psychology and Some Research Methods.
Chapter 1 Introduction to Simulation
Researching the net-work of school (mathematics) education practices Paola Valero PhD course “Designing social learning systems in a globalized world:
A Reflexive View of a Transdisciplinary Field: The Case of Cybernetics
1 Siddharth Deshpande.  Cybernetics began as the science of communication and control in the animal, machine, and society; i.e. special types of systems.
(- ∞ ) General Background: The Microscopic Representation of Complex Macroscopic Phenomena,, Annual Reviews of Computational Physics II p 243, ed D. Stauffer,
Why Theory Matters Jackie Green
Future & Emerging Technologies in the Information Society Technologies programme of European Commission Future & Emerging Technologies in the Information.
Principles, Practices and Dynamics of Research Management LECTURE-4 Research Design Kazi Nurmohammad Hossainul Haque Senior Lecturer, Civil Service College.
Advancing foresight methodology through networked conversations Ted Fuller Peter De Smedt Dale Rothman European Science Foundation COllaboration in Science.
FRE 2672 TFG Self-Organization - 01/07/2004 Engineering Self-Organization in MAS Complex adaptive systems using situated MAS Salima Hassas LIRIS-CNRS Lyon.
Systems approaches Chapter 4.
Management 337 / Summer 2005 / Organization Theories / Slide # 1 Organization Theories.
1 William P. Cunningham University of Minnesota Mary Ann Cunningham Vassar College Copyright © The McGraw-Hill Companies, Inc. Permission required for.
Comparative Social Inequality Comparative method.
Social Science Methods Political Science  study of who gets what, when and how. Political Science compares characteristics of people, events, institutions.
Comparing Political Systems. Why Compare To develop perspective on the mix of constants and variability which characterize the world’s governments and.
Principles of Feedback Control
Lesson Objectives All of you should be able to: Identify the parts of any given system. Most of you will be able to: Describe all elements of any given.
SYSTEMS THEORY STUDY GROUP OVERVIEW AND GENERAL SYSTEMS THEORY.
Introduction to Earth Science Section 2 Section 2: Science as a Process Preview Key Ideas Behavior of Natural Systems Scientific Methods Scientific Measurements.
1 William P. Cunningham University of Minnesota Mary Ann Cunningham Vassar College Chapter 02 Lecture Outline Copyright © McGraw-Hill Education. All rights.
2009 Orientation group session “The critical choices in research process” Paula Kyrö For Group number 5 compulsory to other PhD course participants elective.
Complex Systems Concepts
Contrasting views of science: Popper vs. Kuhn. Sir Karl Popper Sir Karl Popper was a member of the Vienna Circle in the earlier part of the 20th century.
Management in complexity Physics and Biology Walter Baets, PhD, HDR Associate Dean for Innovation and Social Responsibility Professor Complexity, Knowledge.
SECOND ORDER SCIENCE: REVITALIZING THE TRADITION
Theme 2: Data & Models One of the central processes of science is the interplay between models and data Data informs model generation and selection Models.
Definitions of Reality (ref. Wiki Discussions). Reality Two Ontologic Approaches What exists: REALISM, independent of the mind What appears: PHENOMENOLOGY,
Unifying Epistemologies by Combining World, Description and Observer Stuart A. Umpleby The George Washington University Washington, DC
Scientific bases and principles of management of the health care.
Development of Research Methodologies in Various Disciplines By Dr Ranu Varshney & Mrs. Nisha Chaturbedi.
Governance in the Postmodern Era: Implications of an Ecological Worldview Peter J. Robertson Associate Professor School of Policy, Planning, and Development.
EAD 800 Organization Theory Valbonne 2004 Susan Printy Michigan State University.
Ch. 1 Biology: The Study of Life. What is Biology? Biology involves the concepts, principles and theories that allow people to understand the natural.
AUTOMATIC CONTROL THEORY II Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Johan Mouton © February Comparing science and ordinary knowledge Ordinary KnowledgeScientific Knowledge Personal authorityCollective, accumulated.
THE SCIENTIFIC METHOD IN THE HISTORY CLASSROOM AND OTHER THEORETICAL APPROACHES.
HAYEK AS A METHODOLOGICAL INDIVIDUALIST Francesco Di Iorio Southeast University (Nanjing) 1.
Competences for science teaching at the 21st century
Unit 1: Introduction to Sociology
Fundamentals and History of Cybernetics 1
WHAT IS THE NATURE OF SCIENCE?
CASE − Cognitive Agents for Social Environments
Organisations and systems (Chapter 2)
System Approach for Comparative Public Administration
Principles of Science and Systems
Presentation transcript:

Principles of Sociocybernetics -Bernd R. Hornung -Marburg University, Germany European Systems Science Union (ESSU) 6th EUROPEAN CONGRESS ON SYSTEMS SCIENCE Paris, France, September 19-22, 2005 ISA – International Sociological Association RC51 on Sociocybernetics

ISA RC51 on Sociocybernetics2 1. INTRODUCTION 1)What is Sociocybernetics ? 2)How does it relate to (general) system theory and (1st and 2nd order) cybernetics ? 3)Which are the basic principles that system theory and sociocybernetics have in common and how can they be applied in sociology and other social sciences ?

ISA RC51 on Sociocybernetics3 2. SOCIOCYBERNETICS  System Theory, Systems Science.  Study of observed systems vs. study of observing systems (cf. H. von Foerster)  Constructivist epistemology The application of system theory or rather systems science, including 1st and 2nd order cybernetics, to sociology and the other social sciences.

ISA RC51 on Sociocybernetics4 URL:

ISA RC51 on Sociocybernetics5 3. A PARADIGM OR DISCIPLINARY MATRIX (according to Thomas S. Kuhn) 1)A scientific community 2)Metaphysical assumptions 3)Central components of a theory 4)Specific methods 5)Standards for problem solutions 6)Paradigm in a narrow sense - EXEMPLAR 7)Kind of data accepted by scientific com. 8)Specific problems to be dealt with

ISA RC51 on Sociocybernetics6 3.1 THE SCIENTIFIC COMMUNITY I Within the Paradigm of Systems Science Scientific Associations, e.g.: -WOSC, World Organization of General Systems and Cybernetics -ISSS, International Society for Systems Sciences -IFSR, International Federation for Systems Research -Society for Systems Science -UES/ESSU, Union europeénne des systèmes, - European Systems Science Union -RC51, Research Committee 51 on Sociocybernetics of the ISA – International Sociological Association

ISA RC51 on Sociocybernetics7 3.1 THE SCIENTIFIC COMMUNITY II Within the Paradigm of Systems Science Institutes, e.g.: -IIASA, International Institute for Applied Systems Analysis, Laxenburg near Vienna -Instituto Andino de Sistemas, Lima, Peru -FHG/ISI Fraunhofer Gesellschaft, Institut für System- technik und Innovationsforschung, Karlsruhe, Germany -Santa Fé Institute, Santa Fé, USA

ISA RC51 on Sociocybernetics8 3.1 THE SCIENTIFIC COMMUNITY III Within the Paradigm of Systems Science Journals, e.g.: -Kybernetes -Behavioral Science -International Journal for General Systems -International Journal for Systems Science -Revista Internacional de Sistemas

ISA RC51 on Sociocybernetics9 3.2 METAPHYSICAL ASSUMPTIONS Within the Paradigm of Systems Science 1)Nominalism / Constructivism 2)Unity of Nature / Unity of Science 3)Interdisciplinarity 4)Holism / Emergence / Synergy 5)Complexity / Interdepence / 6) Networks

ISA RC51 on Sociocybernetics CENTRAL COMPONENTS OF THEORY Within the Paradigm of Systems Science 1)Relation System-Environment 2)Systems Hierarchy 3)Feedback Loops (negative & positive) 4)Information Processing 5)Cognition (Knowledge, Meaning) 6)Problem-Solving 7)Complexity 8)Self-Organization / Autopoiesis

ISA RC51 on Sociocybernetics11 1)Graphical Representation 2)Modelling 3)Computer Simulation 3.4 SPECIFIC METHODS Within the Paradigm of Systems Science A model is a construction; it permits to experiment, to test, and to simulate

ISA RC51 on Sociocybernetics STANDARDS FOR PROBLEM SOLUTIONS Within the Paradigm of Systems Science 1)Solutions compatible with the theories and methodologies of systems science and cybernetics Solutions both to theoretical problems and to practical issues and applications

ISA RC51 on Sociocybernetics THE PARADIGM (or Exemplar) of Systems Science 1)The System -e.g. according to Laszlo

ISA RC51 on Sociocybernetics DATA Within the Paradigm of Systems Science 1)All data acceptable by the sciences and the social sciences In addition data obtained by means of simulations

ISA RC51 on Sociocybernetics SPECIFIC PROBLEMS AND ISSUES Within the Paradigm of Systems Science 1)All empirical and theoretical issues related to the specific concepts and methodology of system theory

ISA RC51 on Sociocybernetics16 4. Basic Principles: WHAT IS A SYSTEM ? A system is a whole which consists of interdependent components.

ISA RC51 on Sociocybernetics17 4. Basic Principles (cont.): THE ONTOLOGICAL CONSTRUCTION 1) Event 2) Process 3) Structure („slow“ variables)

ISA RC51 on Sociocybernetics18 4. Basic Principles (cont.): CHARACTERISTICS OF A SYSTEM (according to Laszlo) 1)Holon property - it is a whole 2)Negative feedback circles 3)Positive feedback circles 4)Systems hierarchy

ISA RC51 on Sociocybernetics19 4. Basic Principles (cont.): RELATIONS AND CIRCULARITIES 1) Structure: Focussing on relations between « objects » not on « objets » 2) Process: Circular causality, self- referential sequences

ISA RC51 on Sociocybernetics20 CAUSALITY Cause and Effect Multi-Causality Feedback

ISA RC51 on Sociocybernetics Positive Feedback - Negative Feedback CIRCULAR CAUSALITY

ISA RC51 on Sociocybernetics Compare Effect Measure CIRCULAR CAUSALITY (cont.)

ISA RC51 on Sociocybernetics23 Compare Effect Measure - Cognition - - Outputs - - Inputs - Action/ Matter/Energy Communication/ Information - Transformation - Organisational Work Matter/Energy Information CIRCULAR CAUSALITY (cont.)

ISA RC51 on Sociocybernetics24 Organisational Work Adaptation: Changement structurel en réaction à l´environnement Adaptation: Structural change in reaction to the environment Self-Organisation: - Structuring and Restructuring Self-Reproduction/Autopoiesis: - Producing/Replacing Components CIRCULAR CAUSALITY (cont.) (Self-) Procreation/Life: - Creation of New Systems

ISA RC51 on Sociocybernetics25 4. Basic Principles (cont.): THE CONSTRUCTION OF COMPLEXITY 1) Circular Causality 2) Positive Feedback: Deviation amplification 3) Negative Feedback: Deviation reduction 4) Absence of feedback effects 5) Controle: Feedback after the event - corrective action 6) Steering: Feed-forward before the event – anticipative action

ISA RC51 on Sociocybernetics26 4. Basic Principles (cont.): THE CONSTRUCTION OF COMPLEXITY 1) Goal-orientation: Conscious systems, decision-making 2) Information processing 3) Self-organisation 4) Living systems, autopoietic systems

ISA RC51 on Sociocybernetics27 4. Basic Principles (cont.): THE CONSTRUCTION OF COMPLEXITY 1) Goal-Orientation: Goal-seeking systems, conscious systems, decision-making systems 2) Information Processing: Communication between two or more systems 3) Circular processes of self-organization; 4) Living systems, autopoietic systems

ISA RC51 on Sociocybernetics28 5. APPLICATIONS TO SOCIOLOGY Social Systems : Interactions and communications between individuals or actor-systems. 1) Feedback between different levels of systems and the different levels of emergence – both upwards and downwards 2) Organization of social phenomena at different levels of emergence and different levels of social structure 3) Analysis of effects of communication, action, steering, and control in hybrid systems: Communities, regions, countries, etc. according to the type of sociological units (individuals, small groups, collectivities, organizations, etc.)