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Chaos, complexity and computation in the evolution of biological systems
1The Living Systems Project, Dept. of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium.
Bio Systems
|April 10, 2022
Summary
Biological and universal evolution share developmental criteria, driven by evolutionarily derived computation. This research explores chaos, complexity, and computation in both biological and cosmic evolution.
Area of Science:
- Cosmology
- Evolutionary Biology
- Theoretical Physics
Background:
- Chaos, complexity, and computation are fundamental to understanding evolutionary processes.
- Existing frameworks often presume computation from mathematical constructs, rather than deriving it from natural processes.
Purpose of the Study:
- To analyze the interconnectedness of chaos, complexity, and computation within biological and universal evolution.
- To propose a framework where computation is an emergent property of evolutionary systems.
- To integrate the concept of meaning and embodied abstractions into scientific discourse on evolution.
Main Methods:
- Comparative analysis of evolutionary criteria in biological systems and the universe.
- Conceptual derivation of computation from observed evolutionary processes.
- Integration of philosophical considerations regarding meaning and physical embodiment.
Main Results:
- Biological Evolution and the evolution of the Universe share underlying developmental criteria.
- Computation can be understood as an intrinsic process within natural evolution, not an external imposition.
- Physically embodied abstractions are integral to concrete scientific understanding.
Conclusions:
- Evolutionarily derived computation is the primary driver of evolutionary outcomes across different scales.
- A unified view of evolution, encompassing both biological and cosmic perspectives, is achievable.
- The inclusion of meaning and embodied abstractions enriches scientific understanding of complex systems.
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