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Self-modifying systems: a model for the constructive origin of information

G Kampis1

  • 1Department of History and Philosophy of Science, Eotvos University, Budapest, Hungary.

Bio Systems
|January 1, 1996
PubMed
Summary
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This study explores information processing in computational and biological systems, introducing self-modifying systems that exhibit non-computational behaviors and emergent phenomena.

Area of Science:

  • Theoretical computer science
  • Systems biology
  • Philosophy of computation

Background:

  • Information processing in Turing machines and biological systems is often viewed through physical variables.
  • Computation is defined as a process with bounded interactions and pre-definable variables.
  • Natural systems may possess capabilities beyond traditional computational modes.

Purpose of the Study:

  • To examine information processing mechanisms in both artificial and biological systems.
  • To introduce and discuss self-modifying systems that transcend standard computational frameworks.
  • To explore non-computational and semi-computational scenarios in complex systems.

Main Methods:

  • Analysis of information processing from the perspective of physical variables.

Related Experiment Videos

  • Application of process philosophy to understand natural system capabilities.
  • Introduction of self-modifying systems with dynamic interaction and variable composition.
  • Discussion of computer models for emergent phenomena and theoretical issues.

    • Main Results:

    • Characterization of computation as a bounded process.
    • Identification of self-modifying systems as a class exhibiting non-computational traits.
    • Exploration of emergent phenomena through computational modeling.
    • Consideration of theoretical implications for simulation and information gain.

    Conclusions:

    • Biological systems may exhibit non-computational information processing.
    • Self-modifying systems offer a framework for understanding emergent and adaptive behaviors.
    • Further research is needed on the theoretical aspects of non-computational systems and information gain.