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Bio-inspired computing tissues: towards machines that evolve, grow, and learn.

Christof Teuscher1, Daniel Mange, André Stauffer

  • 1Logic Systems Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland. christof@teucher.ch

Bio Systems
|February 22, 2003
PubMed
Summary

Bio-inspired computing tissues enable

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Area of Science:

  • Computer Science
  • Biomimicry
  • Artificial Intelligence

Background:

  • Biological systems offer models for advanced computing.
  • Existing computing paradigms lack inherent fault-tolerance and self-repair.
  • Bio-inspired design principles can lead to novel machine functionalities.

Purpose of the Study:

  • To introduce bio-inspired computing tissues for creating 'living' machines.
  • To present the Embryonics project and its BioWatch application.
  • To describe the BioWall as a reconfigurable computational tissue.

Main Methods:

  • Overview of bio-inspired systems and the POE model.
  • Description of the Embryonics project's multicellular organization and cellular differentiation.
  • Implementation of BioWatch on the BioWall computational tissue.

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Main Results:

  • Demonstration of fault-tolerant and self-repairing capabilities with BioWatch.
  • BioWall serves as a reconfigurable tissue for large-scale bio-inspired applications.
  • Successful large-scale implementation of BioWatch on BioWall.

Conclusions:

  • Bio-inspired computing tissues are a key concept for 'living' machines.
  • Embryonics project showcases multicellular organization and self-repair.
  • POEtic machines represent a future direction in bio-inspired computing.