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Evolution is driven by natural autoencoding: reframing species, interaction codes, cooperation and sexual
1Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
Proceedings. Biological Sciences
|March 1, 2023
Summary
Life
Area of Science:
- Evolutionary Biology
- Computational Biology
- Systems Biology
Background:
- Life's continuity and evolution are viewed as emergent properties of interactive networks.
- Existing frameworks may not fully capture the computational underpinnings of biological systems.
Purpose of the Study:
- To propose 'natural autoencoding' as the computational process driving 'survival of the fitted'.
- To define 'species interaction codes' as the basis for evolutionary change.
- To explain genome randomization in sexual reproduction through an autoencoding lens.
Main Methods:
- Conceptual framework development.
- Analogy drawn between natural biological processes and artificial autoencoding algorithms.
- Definition of 'species interaction codes' based on repeating organismal interactions.
Main Results:
- Survival of the fitted arises from natural autoencoding, which preserves repeating biological interactions.
- Species are defined by their interaction codes, encoded in biological infrastructure.
- Evolution occurs via natural autoencoding of changes in species interaction codes.
Conclusions:
- Natural autoencoding provides a computational explanation for evolution and the paradox of genome randomization.
- The concept of 'fittedness' is crucial for understanding biological organization and potentially for biosphere sustainability.
- Similarities and differences between natural and artificial autoencoding warrant further investigation.
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