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Complexity in Biological Organization: Deconstruction (and Subsequent Restating) of Key Concepts.
Mariano Bizzarri1,2, Oleg Naimark3, José Nieto-Villar4
1Department of Experimental Medicine, University La Sapienza, via Scarpa 16, 00160 Rome, Italy.
Entropy (Basel, Switzerland)
|December 8, 2020
Summary
This study reconstructs the meaning of complexity by analyzing shared features across biological, inanimate, and artefactual systems. It aims to unify scientific understanding and overcome fragmentation.
Area of Science:
- Complexity Science
- Systems Biology
- Interdisciplinary Science
Background:
- The term "complexity" lacks a precise definition, leading to fragmented scientific understanding.
- Existing research often isolates complexity within specific domains, hindering interdisciplinary connections.
Purpose of the Study:
- To reconstruct a unified understanding of complexity from the ground up.
- To identify convergent features across diverse complex systems.
- To foster an integrative scientific approach overcoming cultural fragmentation.
Main Methods:
- Bottom-up analysis of complex systems.
- Comparative feature analysis across biological, inanimate, and artefactual systems.
- Identification of shared characteristics defining complexity.
Main Results:
- Identified convergent features that define complexity across different system types.
- Demonstrated analogous characteristics in biological and non-biological complex systems.
- Established a framework for an integrative understanding of complexity.
Conclusions:
- A unified, feature-based definition of complexity is achievable.
- Interdisciplinary parallels can bridge scientific cultural divides.
- This integrative approach offers a path toward a new scientific mainstream.
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