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.

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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.

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LEARNING MATRIXES (STEINBUCH's) 2)

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A model of learning processes through a commutative structure represented by a matrix.

Such models have been proposed by the German cybernetist K. STEINBUCH.(See K. STEINBUCH, 1961; N. WIENER & J.P. SCHADE, 1963 and G. KLAUS und H. LIEBSCHER, 1976)

As in any matrix, the structure consists in a table connecting horizontal and vertical elements, in such a way as to represent stipulated interconnections.

The so-called "Iern-matrix", which represent the process of learning proper ("Lernphase"), connects at any intersection in the matrix some property, i.e. basically a perceived characteristic, with a meaning, i.e. a corresponding symbol, verbal or otherwise. Once the matrix has been constructed, the so-called "Kannphase" (i.e. knowledge phase) is reached, in which it is possible to retrieve any characteristic through the corresponding symbol.

In general, connection of meanings with properties is the basic condition of the shaping of semantic codes. It is thus also the basis for the creation of information, as it is the connection that transforms noise into meaning. It implies however the pre-existence of a physiological substratum (for ex. visual perception or phonation capacity) through which rules for connections can be expressed. Moreover, any individual has his/her own autopoietic closure. As a result, rules may vary slightly for different individuals.

It is possible to construct learning matrixes at various interconnected hierarchical levels of abstraction. This corresponds more or less to:

- G. BATESON's levels of learning

- A. KORZYBSKI's structural differential

STEINBUCH's models seem to represent quite accurately the formation and subsequent uses of representations obtained from perceptions.

→ "Learning processes"

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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