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Related Experiment Videos

From complexity to simplicity: nature and symbols.

A Etxeberria1, A Moreno

  • 1Logika eta Zientziaren Filosofia Saila (Department of Logic and Philosophy of Science), Euskal Herriko Unibertsitatea (University of the Basque Country), 1249 Posta Kutxa, 20.080, Donostia-San Sebastian, Spain. ylpetaga@sf.ehu.es

Bio Systems
|April 28, 2001
PubMed
Summary

This study explores how symbolic domains arise in hierarchical systems, like living organisms. It explains the Semantic Closure Principle, where symbols are self-interpreted, using concepts of constraint, record, and symbol.

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Area of Science:

  • Theoretical Biology
  • Systems Biology
  • Philosophy of Science

Background:

  • Hierarchical systems exhibit self-simplifying processes.
  • The symbolic domain is a key feature of living systems.
  • Understanding symbol emergence is crucial for systems biology.

Purpose of the Study:

  • To review Pattee's ideas on the symbolic domain.
  • To explain the emergence of the Semantic Closure Principle.
  • To discuss complementarity and the nature of biological symbols.

Main Methods:

  • Conceptual analysis of Pattee's work.
  • Distinguishing between constraint, record, and symbol.
  • Discussion of epistemological and ontological principles.

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Main Results:

  • The Semantic Closure Principle emerges from the interplay of constraint, record, and symbol.
  • Complementarity is presented as both an epistemological and ontological principle.
  • The paper considers the possibility of non-symbolically preserved constraints in autonomous systems.

Conclusions:

  • Symbols are self-interpreted within cells (Semantic Closure Principle).
  • Biological symbols may possess a descriptive nature.
  • The study prompts further inquiry into autonomous systems and symbolic preservation.