In the perspective of formulizing abstractions as afundamental facet of cognition, we study knowledge in its relationship to thebiological substratum from which its outcomes. Our research is mainly founded on the works of F.J. Varela concerningthe autonomy of living systems (autopoiesis) and of S. Lupasco on antagonism.We show how autopoiesis brings a new enlightment upon knowledge, by turningrepresentation problems to organization problems and how the autopoieticdynamics of living systems leads to a new formulation of machine learning. By developing new internal dynamics, a systemdoes not learn to know its environment, but to adapt himself to it.It follows that modeling an autopoietic system requires to focus, no more onsharing of semantic universes between a system and its environment, but onstructural models producing behavioral regularities of the system in answer toenvironmental perturbations. Autopoiesisseems therefore more suited for developing adaptive and complex systems,especially when an exhaustive specification of the operating factors isprohibitive, as well as for providing a unified framework for modelingcognition. Moreover it provides aparadigmatic foundation to the design of massively parallel system.

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Date created

• 1994

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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fe35db792b573af835d96e6eba4759cd

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Part of

c060552994c1527f70693734935660f1

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23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives