BCSSS

International Encyclopedia of Systems and Cybernetics

2nd Edition, as published by Charles François 2004 Presented by the Bertalanffy Center for the Study of Systems Science Vienna for public access.

About

The International Encyclopedia of Systems and Cybernetics was first edited and published by the system scientist Charles François in 1997. The online version that is provided here was based on the 2nd edition in 2004. It was uploaded and gifted to the center by ASC president Michael Lissack in 2019; the BCSSS purchased the rights for the re-publication of this volume in 200?. In 2018, the original editor expressed his wish to pass on the stewardship over the maintenance and further development of the encyclopedia to the Bertalanffy Center. In the future, the BCSSS seeks to further develop the encyclopedia by open collaboration within the systems sciences. Until the center has found and been able to implement an adequate technical solution for this, the static website is made accessible for the benefit of public scholarship and education.

A B C D E F G H I J K L M N O P Q R S T U V W Y Z

SYSTEM (Polystable) 1)2)4)

"Any system whose parts have many equilibria and that has been formed by taking parts at random and joined at random" (W.R. ASHBY 1960, p.173).

What ASHBY has in mind are systems whose parts are "…assured to be state-determined, and thus to have (in themselves) no randomness at alt' (Ibid).

Some examples are von FOERSTER's small magnets in his famous "order from noise" experiment, or better still, neurons – natural or artificial.

What ASHBY wants to study is the way such elements, when joined, start to organize themselves spontaneously.

He sums up the result of such a process in the following way: "The polystable system, if composed of parts whose states of equilibrium are distributed independently of the states of their inputs, goes to a final equilibrium in a way that depends much on the amount of functional connection" (p.178).

He adds: "When the connection is rich, the line of behavior tends to be complex and, if n is large, exceedingly long; so the whole tends to take an exceedingly long time to come to equilibrium" (Ibid). As possible examples (admittedly hypothetical) we may consider any complex society, like neurons in the brain or people with diversified roles in a numerous human organization.

ASHBY completes his comment saying: "When the connection is poor (either by few primary joins or by many constancies in the parts), the line of behavior tends to be short, so that the whole arrives at a state of equilibrium soon" (Ibid).

ASHBY's own quite simple homeostat is a good example.

Categories

  • 1) General information
  • 2) Methodology or model
  • 3) Epistemology, ontology and semantics
  • 4) Human sciences
  • 5) Discipline oriented

Publisher

Bertalanffy Center for the Study of Systems Science(2020).

To cite this page, please use the following information:

Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]


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