A robust multiplexer-based FPGA inspired by biological systems
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: dependable parallel computer systems
Fifty years of research on self-replication: an overview
Artificial Life - Special issue on self-replication
Self-replicating and self-repairing multicellular automata
Artificial Life - Special issue on self-replication
Reliability Analysis in Self-Repairing Embryonic Systems
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Shrinking the Genotype: L-systems for EHW?
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Embryonics: Artificial Cells Driven by Artificial DNA
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
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Embryonics (embryonic electronics) is a research project that attempts to draw inspiration form the world of biology to design better digital computing machines, and notably massively parallel arrays of processors. In the course of the development of our project, we have realized that the use of programmable logic circuits (field-programmable gate arrays, or FPGAs) is, if not indispensable, at least extremely useful. This article describes some of the peculiar features of the FPGA we designed to efficiently implement our embryonic machines. More particularly, we discuss the issues of memory storage and of self-repair, critical concerns for the implementation of our bio-inspired machines.