Systems Thinking: Concepts and Notions

There is no generally accepted, clearly delineated body of know­ ledge concerning systems thinking. The multiplicity of thinking is well illustrated by the various names such as: (general) systems theory, systems thinking, systems approach, systems analysis, sys­ tems synthesis, systems engineering, etc. These terms refer to various fields of knowledge that either overlap or are completely different. For this reason we consider it useful to try to develop a common language, a common set of concepts. In this book we have tried to launch such a common language. We shall try to develop a set of coherent concepts and notions. We have consciously tried to make the minimum use of mathematical or logical symbols in our descriptions and definitions. This promotes more positive access to the concepts. We think that the language of the formal sciences, mathematics, can only be pardy of use to us in considering the application of systems thinking in complex em­ pirical situations. Our set of concepts is based on various descrip­ tions known from the literature. In order to explain the concepts and ideas as clearly as possible, we have illustrated them with exam­ ples from various academic fields such as sociology, psychology, business, management, economics, technology and the natural sciences. In the main, we have chosen relatively simple examples.

Publisher: Kluwer Academic Publishers Group

Published: Netherlands, 1 July 1977

Format: Paperback / softback, 148 pages

Other Information: Illustrated

Dimensions: 22.9 x 15.2 x 0.8 centimeters (0.23 kg)

Writer: De Smit, J., Kramer, N. J. T. A.

Promotional InformationSpringer Book Archives

Table of Contents1 Introduction.- 1.1. Systems.- 1.2. Historical background.- 1.3. Objective of systems thinking.- 1.4. Systems thinking and the theories of organization and management.- 1.5. Subjects for discussion.- 1.6. References.- 2 System.- 2.1. Introduction.- 2.2. System and aggregate.- 2.3. Entity.- 2.4. Relation.- 2.5. Structure.- 2.6. State.- 2.7. Sub and Aspect systems.- 2.8. References.- 3 Environment.- 3.1. Introduction.- 3.2. System boundary.- 3.3. Open and closed systems.- 3.4. Environment.- 3.5. References.- 4 System Behaviour.- 4.1. Introduction.- 4.2. Process.- 4.3. States.- 4.3.1. Transient state.- 4.3.2. Steady state and equilibrium.- 4.4. Equifinality.- 4.5. Stability.- 4.6. References.- 5 Information and Entropy.- 5.1. Introduction.- 5.2. Information.- 5.2.1. Communication.- 5.2.2. Syntax, semantics, pragmatics.- 5.2.3. Signal, message, information.- 5.2.4. Redundant, relevant and irrelevant information.- 5.2.5. Mathematical information theory.- 5.3. Entropy.- 5.3.1. Thermodynamic entropy concept.- 5.3.2. Statistical entropy concept.- 5.4. Relation between information and entropy.- 5.5. References.- 6 Models.- 6.1. Introduction.- 6.2. The model.- 6.3. Isomorphism and homomorphism.- 6.4. Model construction.- 6.5. Model classification.- 6.5.1. Introduction.- 6.5.2. Typology of models based on the nature of systems.- 6.5.3. Typology of models according to function.- 6.5.4. Typology of models according to method or working principle.- 6.6. Quantitative description of systems.- 6.6.1. Introduction.- 6.6.2. System cell.- 6.7. Black box.- 6.8. Response studies.- 6.8.1. Response.- 6.8.2. Linearity.- 6.8.3. Examples of responses.- 6.9. Boulding's system hierarchy.- 6.10. References.- 7 Cybernetic Systems.- 7.1. Introduction.- 7.2. Block diagrams.- 7.3. Control.- 7.4. Control systems.- 7.4.1. Introduction.- 7.4.2. Cause-control.- 7.4.3. Error-control.- 7.4.4. Stability of control systems.- 7.4.5. Combinations of cause-control and error-control.- 7.5. Examples of control systems.- 7.5.1. Introduction.- 7.5.2. Technical systems.- 7.5.3. Men-machine systems.- 7.5.4. Control systems in various sciences.- 7.5.5. Examples from business administration.- 7.6. References.