On closed and open systems

Living systems are open systems, maintaining themselves in exchange of materials with environment, and in continuous building up and breaking down of their components, (von Bertalanffy, 1950: 23) Specifically, open systems are characterised by (1) the maintenance of a steady state, despite continuou...

Full description

Saved in:
Bibliographic Details
Published inEphemera Vol. 23; no. 3; pp. 37 - 54
Main Author Cooper, Robert
Format Journal Article
LanguageEnglish
Published Leicester Nick Butler (On Behalf of the Editorial Collective of Ephemera) 01.11.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Living systems are open systems, maintaining themselves in exchange of materials with environment, and in continuous building up and breaking down of their components, (von Bertalanffy, 1950: 23) Specifically, open systems are characterised by (1) the maintenance of a steady state, despite continuous changes outside the system, i.e., the system is self-regulating; (2) equifinality or the ability to reach a final state or goal from different initial conditions and in different ways (e.g., solving a complex problem) in contrast to closed systems when the final state is determined by the initial conditions; (3) a tendency toward states of greater heterogeneity and complexity, i.e., higher order. [...]one can take issue with Emery and Trist's analysis on several grounds, not the least of which is that its conception of 'Openness' is limited to work enterprises whose main goal is to control the environment for the purposes of productive gain; the priority given to the concept of 'steady state' in fact suggests that a more accurate definition of the system's behaviour is to reduce environmental variety or uncertainty in the direction of a 'quasi-stationary equilibrium' (ibid). [...]the latter statement is so improbable that you would have difficulty in accepting it in other words, the message is very high on information but very low on meaning. [...]the meaning of a message is related to its probability, while information is related to its improbability (ibid: 7).
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2052-1499
1473-2866