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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
ISBN:
9780791859599
No. of Pages:
686
Publisher:
ASME Press
Publication date:
2010
eBook Chapter
35 Cellular Automata: In-Depth Overview
By
R. Challoo
,
R. Challoo
Department of Electrical Engineering
Texas A&M University-Kingsville
Kingsville, TX
, USA
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P. Rao
,
P. Rao
Department of Electrical Engineering
Texas A&M University-Kingsville
Kingsville, TX
, USA
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S. Li
,
S. Li
Department of Electrical & Computer Engineering
The University of Alabama
Tuscaloosa, AL
, USA
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S. Ozcelik
S. Ozcelik
Department of Mechanical Engineering
Texas A&M University-Kingsville
Kingsville, TX
, USA
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Page Count:
8
-
Published:2010
Citation
Challoo, R, Rao, P, Li, S, & Ozcelik, S. "Cellular Automata: In-Depth Overview." Intelligent Engineering Systems through Artificial Neural Networks, Volume 20. Ed. Dagli, CH. ASME Press, 2010.
Download citation file:
Cellular Automata (CAs) are dynamical systems in which space and time are discrete, where each cell obeys the same rule and has a finite number of states. The Cellular Automata model is both general and simple. Generality relates to two things: (1) the model can perform universal computation and (2) the basic units are formed out of a general interaction and not because of a specialized function. The Cellular Automata model is one of the simplest and most general models available for observing and computing complex systems. In this paper we provide an in-depth snapshot of CA, its components that...
Abstract
1. Introduction and a Breif History
2. Cellular Automata
3. Behavior of CA
4. Applications of CA
5. Future Work and Conclusions
6. References
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