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

LEARNING as a description process 1)

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According to L. LÖFGREN: "We think of the basic function of our brains as a learning or description process, which produces short and communicable descriptions of the enormous, and in itself unmanageably complex, data-flow that is our direct experience of an outer world (surrounding)" (1977, p.199).

Such brain-internalized descriptions tend to become evermore stable and can thus be used as a simplification device for the synthetic interpretation of considerable chunks of outer world data.

In LÖFGREN's words: "Involved is the idea that the more regularities have been found, the more can be utilized (be referred to) in the description to make it shorter (than a lengthy listing of uncorrelated facts). Furthermore, the predictive power of the description will increase with the number of regularities found… Then more reliable predictions can be made on the basis of the learned description, and more safe inferences can be made of how to behave in the surrounding" (Ibid).

These views confirm that learning is a brain process of algorithms creation.

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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