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Area of Science:

  • Engineering and Systems Science
  • Biomimicry
  • Resilience Engineering

Background:

  • Modern technological systems are increasingly complex and failure-prone.
  • Current resilience strategies rely heavily on human intervention, which is becoming impractical.
  • Biological systems exhibit remarkable self-repair capabilities, offering a model for enhanced resilience.

Purpose of the Study:

  • To analyze the concepts of resilience in both biological and technological systems.
  • To identify principles from biological resilience that can be applied to technological systems.
  • To enhance the understanding and implementation of resilience in current and future technologies.

Main Methods:

  • Comparative analysis of resilience concepts across biological and technological domains.
  • Decomposition of resilience definitions to identify key contributing factors.
  • Exploration of self-repair mechanisms in biological systems.

Main Results:

  • Human-dependent repair is a bottleneck for technological resilience.
  • Biological systems offer proven, long-term resilience through self-repair.
  • Key principles for biological resilience can be adapted for technological applications.

Conclusions:

  • Learning from biological resilience can significantly improve technological system robustness.
  • Applying biomimetic principles is crucial for future resilient technologies.
  • A shift towards self-repairing technological systems is proposed.