Title :
Achieving von Neumann´s dream: artificial life on silicon
Author :
Marchal, P. ; Piguet, C. ; Mange, D. ; Stauffer, A. ; Durand, S.
Author_Institution :
Centre Suisse d´´Electronique et de Microtechnique SA, Neuchatel, Switzerland
fDate :
27 Jun-2 Jul 1994
Abstract :
The work presented in this paper is based on advances in the field of computer engineering (machine architecture, self-test and artificial life) as well as in the related fields of molecular biology (genetics and embryology). Starting with a simple example of a digital circuit (a 4-state reversible counter), a methodology enabling the implementation of any combinational or sequential system on a 2-dimension cellular automaton (CA) is presented. The benefit brought by this methodology is its ability to synthesise and implement very complex digital functions on very simple and regular structures such as cellular automata. Furthermore, thanks to the contribution of genetics and built-in-self-test (BIST), some life-like properties such as self-adaptation and artificial healing provide a type of functional autonomy. The reconfiguration scheme emerges from the biological-like process. Applications of such techniques to embarked systems where access is difficult (space, sea or aggressive environment) will be of prime interest
Keywords :
cellular automata; neural chips; 2D cellular automaton; 4-state reversible counter; BIST; artificial healing; artificial life; built-in-self-test; combinational system; computer engineering; digital circuit; embryology; genetics; machine architecture; molecular biology; neural net; self-adaptation; sequential system; Automata; Biology computing; Built-in self-test; Cells (biology); Computer architecture; Counting circuits; Digital circuits; Embryo; Genetic engineering; Silicon;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374581