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Published on: August 18, 2023
Grand Views of Evolution
Harold P de Vladar1, Mauro Santos2, Eörs Szathmáry3
1Center for the Conceptual Foundations of Science, Parmenides Foundation, Kirchplatz 1, Pullach 82049, Germany; Institute of Advanced Studies Kőszeg, Chernel Utca 14, Kőszeg 9730, Hungary.
Evolutionary progress may not halt without environmental shifts, as ecological dynamics drive innovation. This research explores open-ended evolution, complexity, and the non-algorithmic nature of evolutionary processes.
Area of Science:
- Evolutionary biology
- Ecology
- Theoretical biology
Background:
- Major advances in evolutionary theories exist.
- Certain aspects of evolution, like its potential halt without abiotic change, unboundedness, or progressive nature, remain neglected.
Purpose of the Study:
- To discuss ecological and evolutionary models.
- To argue that ecological change, specifically Red Queen dynamics, facilitates innovation.
- To distinguish and define three forms of open-endedness in evolution.
Main Methods:
- Discussion of ecological and evolutionary models.
- Analysis of Red Queen dynamics' role in innovation.
- Distinction between weak, strong, and ultimate open-endedness.
Main Results:
- Ecological change, leading to Red Queen dynamics, promotes but does not guarantee innovation.
- Weak open-endedness allows indefinite novel phenotypes.
- Strong open-endedness requires continuous evolutionary novelties and innovations.
- Ultimate open-endedness necessitates unlimited heredity for indefinite complexity increase.
- Open-ended innovation relies on exaptations creating novel niches.
Conclusions:
- Evolution is not fully algorithmic.
- Ecological dynamics and exaptations are crucial for open-ended innovation and increasing complexity.
- Evolutionary processes can generate new traits and rules dynamically.
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