CONDITIONAL PROBABILITIES MATRIX 2)
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"A matrix determining the relative probabilities of various patterns (and patterns of patterns) of behavior in all possible circumstances" (1969, p.95).
Mac KAY expresses this also in the following alternative way: "A hierarchic structure of organizing "sub routines" to determine these conditional probabilities interlocked in such a way as to represent implicitely the structure of the environment (the world of activity) with which the organism must interact. For many purposes, we may reduce it to the filling-out of a world-map, ready to be consulted according to current needs and goals" (Ibid).
These very interesting definitions evoke:
1 – K. STEINBUCH's "Learn-matrixes" through wich a system is establishing connections between specific signs and specific meanings.
2 – H. MATURANA and F. VARELA "organizational closure" according to which everything which happens to a system happens within the system and then only within the limits of the predefined capacity of autopoiesis (self-reproduction) of the system. (Remains to explain wherefrom this capacity comes into being and why and how it becomes closured).
3 – W.R. ASHBY's "Law of requisity variety" and concept of constraint.
4 – the incapacity for any system to construct a complete and totally thrustworthy map of the world wherein it exists; as shown by A. KORZYBSKI (1933, 1950).
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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