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Evolution with material symbol systems.

L M Rocha1

  • 1Modeling, Algorithms, and Informatics Group (CCS-3) Los Alamos National Laboratory, MS B256, Los Alamos, NM 87545, USA. rocha@lanl.gov

Bio Systems
|April 28, 2001
PubMed
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Symbols are crucial for open-ended evolution in material systems, but only when phenotypes arise from self-organization. This study explores the essential link between symbols and matter in evolving systems.

Area of Science:

  • Artificial life
  • Theoretical biology
  • Computational intelligence

Background:

  • This research investigates the role of symbolic representation in evolving material systems, drawing upon Pattee's semantic closure principle.
  • It contrasts evolutionary reproduction via genetic variation with reproduction through self-inspection to understand system requirements.

Discussion:

  • The study posits that symbols are indispensable for achieving open-ended evolution.
  • This necessity is contingent upon phenotypes emerging from material self-organization processes.

Key Insights:

  • A theoretical framework for symbolic representations is developed.
  • Agent-based simulations with evolutionary algorithms and indirectly encoded phenotypes, utilizing Fuzzy Development programs, model matter-symbol interdependencies.

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Outlook:

  • Future research can explore the nuanced interplay between symbolic dynamics and material self-organization in artificial and biological systems.
  • This work provides a foundation for designing more complex and adaptive evolving systems.