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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Towards an engineering theory of evolution.

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Biological technologies evolve, necessitating novel bioengineering design methodologies. The proposed

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Area of Science:

  • Bioengineering and evolutionary biology.
  • Development of novel design methodologies for biological systems.

Background:

  • Biological technologies possess inherent evolutionary potential, differentiating them from other engineered systems.
  • Current application of evolutionary knowledge in biosystem design is often ad hoc and lacks a theoretical framework.
  • A comprehensive engineering theory of evolution is needed to harness evolutionary potential and mitigate unintended consequences.

Purpose of the Study:

  • To introduce a conceptual framework, the 'evotype', for engineering the evolutionary capacity of biosystems.
  • To provide a foundation for a theory of evolution in bioengineering.
  • To guide the design of self-adaptive technologies, including those beyond biology.

Main Methods:

  • Conceptual development of the 'evotype' as a design principle.
  • Theoretical exploration of evolutionary engineering principles.
  • Extrapolation of the concept to self-adaptive technologies.

Main Results:

  • The 'evotype' concept offers a structured approach to designing for evolutionary potential.
  • This framework facilitates a more systematic integration of evolutionary dynamics into bioengineering.
  • The concept has potential applications in designing adaptive systems beyond biological contexts.

Conclusions:

  • The 'evotype' is a crucial concept for advancing bioengineering and the design of self-adaptive technologies.
  • Developing an engineering theory of evolution is essential for maximizing the benefits and minimizing risks of biological design.
  • This work lays the groundwork for a more robust and predictable approach to engineering with evolution.