Difference between revisions of "Topic:Boundaries of systems"

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Expected competencies after study of this topic are:
 
Expected competencies after study of this topic are:
 
* being able to describe a hierarchical ordering of systems
 
* being able to describe a hierarchical ordering of systems
 +
* being able to define and identify autopoietic versus allopoietic systems
 
* being able to describe how system boundaries can be variously described as artificial, hierarchical, and interpenetrating
 
* being able to describe how system boundaries can be variously described as artificial, hierarchical, and interpenetrating
 
* distinguishing between and describing a system's function, products, and goal/purpose
 
* distinguishing between and describing a system's function, products, and goal/purpose

Revision as of 14:16, 26 May 2020

Context

This topic forms part of the systems and complexity area of study. People who are competent in the topic can apply their knowledge to understanding how to effectively identify existing system boundaries, distinguish between autopoietic and allopoietic systems, and prerequisites to be met for meaningful establishment of new systems of any type.

Competencies

Expected competencies after study of this topic are:

  • being able to describe a hierarchical ordering of systems
  • being able to define and identify autopoietic versus allopoietic systems
  • being able to describe how system boundaries can be variously described as artificial, hierarchical, and interpenetrating
  • distinguishing between and describing a system's function, products, and goal/purpose

Key Concepts

[Complex] systems are open systems where the relationships amongst the components of the system are usually more important than the components themselves. Since there are also relationships with the environment, specifying clearly where a boundary could be, is not obvious. One way of dealing with the problem of boundaries is to introduce the notion of “operational closure” …

an autopoietic system [is] regenerated through the interaction of its own products (components), and a boundary emerges as a result of the same constitutive processes … One should be careful, however, not to overemphasise the closure of the boundary. The boundary of a complex system is not clearly defined once it has “emerged”. Boundaries are simultaneously a function of the activity of the system itself, and a product of the strategy of description involved …

We often fall into the trap of thinking of a boundary as something that separates one thing from another. We should rather think of a boundary as something that constitutes that which is bounded. This shift will help us to see the boundary as something enabling, rather than as confining.
The lesson of boundaries is hard even for systems thinkers to get. There is no single, legitimate boundary to draw around a system. We have to invent boundaries for clarity and sanity; and boundaries can produce problems when we forget that we’ve artificially created them.
—Donella H Meadows, Thinking in Systems
In the formation of new boundaries, signals influence the structure of new boundaries at least as often as boundaries influence the formation of new signals … [The] hierarchy of boundaries and signals [as determined by inputs, agents, and the patterns/motifs/tags they respond to] provides an adaptive process that is much more directed, and more plausible, than random variation.
[Cognitive] systems ... are assumed to be capable of reducing the information flow from the environment into the system by modeling the environment. We shall call this "informational closure" ... [noting that unpredictable] events that nevertheless do affect the system [still] give rise to an information flow into the system.

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