DocumentCode :
2333873
Title :
Evolutionary heuristics for automatic discoveries of cellular automata simulating AND gates
Author :
Sapin, Emmanuel
Author_Institution :
Lab. MTG, IDEES, France
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
We aim to construct an automatic system for the discovery of Turing-universal cellular automata. A new step toward this automatic system, presented in this paper, is an automatic method of detection of cellular automata simulating AND gates. The heuristics of the search for these cellular automata is to search for a glider, then to search for a gun emitting this glider and then to search for a simulation of an AND gate. Results show how a large number of simulations of logic gates can be discovered.
Keywords :
Turing machines; cellular automata; logic gates; AND gates; Turing-universal cellular automata; evolutionary heuristics; logic gates; Automata; Encoding; Evolutionary computation; Games; Logic gates; Shape; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586507
Filename :
5586507
Link To Document :
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