An Embryonic Array with Improved Efficiency and Fault Tolerance
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
Embryonic Machines That Grow, Self-Replicate and Self-Repair
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Bio-inspired computing machines with self-repair mechanisms
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
A learning based self-organized additive fuzzy clustering method and its application for EEG data
International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications
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Self-organizing bio-inspired systems borrow three structural principles characteristic of living organisms: multicellular architecture, cellular division, and cellular differentiation. Implemented in silicon according to these principles, our cellular systems become able to grow, to self-replicate, and to self-repair. The growth and branching processes, performed by the so-called Tom Thumb algorithm, lead thus to the configuration and cloning mechanisms of the cellular systems. The repair processes allow its cicatrization and regeneration mechanisms. The functional and hardware designs of these mechanisms constitute the core of this paper.