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Related Experiment Videos

Information processing and symmetry-breaking in memory evolutive systems

A C Ehresmann1, J P Vanbremeersch

  • 1Facultè de Mathématiques et d'Informatique, Amiens, France. ehres@mathinfo.u-picardie.fr

Bio Systems
|January 1, 1997
PubMed
Summary

Symmetry-breaking in Memory Evolutive Systems (MES) drives complex information processing in natural systems. This principle explains how diverse micro-level behaviors lead to unified macro-level functions, fostering adaptability and complexity.

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Hierarchical evolutive systems: a mathematical model for complex systems.

Bulletin of mathematical biology·1987
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Area of Science:

  • Complexity Science
  • Theoretical Biology
  • Neuroscience
  • Social Systems Theory

Background:

  • Hierarchical natural systems (biological, neural, social, cultural) exhibit complex information processing.
  • Memory Evolutive Systems (MES) provide a mathematical framework for modeling these systems.
  • System dynamics are governed by internal regulatory centers competing and balancing overlapping strategies.

Purpose of the Study:

  • To evaluate the role of symmetry and symmetry-breaking in complex information processing within hierarchical natural systems.
  • To analyze how these processes contribute to the adaptability and complexity of systems modeled by MES.
  • To investigate the emergence of complex objects and the relationship between mental and physical states.

Main Methods:

Related Experiment Videos

  • Utilizing the Memory Evolutive Systems (MES) mathematical model.
  • Analyzing the dynamics of internal regulation centers and their interdependencies.
  • Applying the Multiplicity Principle to understand macro-level behavior from micro-level interactions.
  • Examining emergentist dynamical reduction through an application to neural systems.

Main Results:

  • Symmetry-breaking is identified as a key characteristic enabling passage from macro to micro levels.
  • The Multiplicity Principle demonstrates how disparate micro-level subsystems yield similar macro-level behavior.
  • A dialectic emerges between heterogeneous regulation centers, promoting the development of complex objects over time.
  • An emergentist dynamical reduction of mental states to physical states is supported by neural system applications.

Conclusions:

  • Symmetry-breaking is fundamental to the complexity and adaptability of hierarchical natural systems.
  • The MES framework effectively models how symmetry-breaking facilitates information processing and object emergence.
  • The study supports an emergentist perspective on the relationship between mental and physical states in neural systems.