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Embryonics: a path to artificial life?
Xuegong Zhang1, Gabriel Dragffy, Anthony G Pipe
1Faculty of Computing, Engineering and Mathematical Sciences, University of the West of England, Bristol, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom. Xuegong.Zhang@uwe.ac.uk
Artificial Life
|July 25, 2006
Summary
Biological systems offer superior reliability compared to electronic systems. This research explores building highly reliable systems using embryonic cells, inspired by evolutionary principles for self-monitoring and repair.
Area of Science:
- Biologically inspired engineering
- Systems biology
- Reliability engineering
Background:
- Electronic systems lack the inherent reliability of biological systems.
- Biological systems have evolved robust mechanisms for self-preservation and repair over millions of years.
- Learning from biological principles can advance the development of highly reliable artificial systems.
Purpose of the Study:
- To explore the construction of highly reliable systems using simple embryonic cells.
- To investigate methods for self-monitoring of functional integrity in artificial systems.
- To demonstrate fault detection and repair mechanisms inspired by biological processes.
Main Methods:
- Utilizing simple embryonic cells as building blocks for artificial systems.
- Implementing self-monitoring capabilities to detect internal failures and environmental threats.
- Developing repair strategies for faults such as DNA mutation and cell death.
Main Results:
- Proposed a framework for creating artificial systems with enhanced reliability.
- Illustrated mechanisms for self-monitoring and protection against system degradation.
- Demonstrated the potential for restoring full system functionality through fault repair.
Conclusions:
- Embryonic cells offer a promising foundation for developing highly reliable, self-monitoring, and self-repairing systems.
- Biologically inspired design principles can overcome limitations in current electronic system reliability.
- This approach paves the way for robust systems capable of autonomous maintenance and longevity.