Self-Organization of Random Cellular Automata: Four Snapshots

Author(s):  
David Griffeath
1998 ◽  
Vol 12 (05) ◽  
pp. 601-607 ◽  
Author(s):  
M. Andrecut

Wave propagation in excitable media provides an important example of spatiotemporal self-organization. The Belousov–Zhabotinsky (BZ) reaction and the impulse propagation along nerve axons are two well-known examples of this phenomenon. Excitable media have been modelled by continuous partial differential equations and by discrete cellular automata. Here we describe a simple three-states cellular automaton model based on the properties of excitation and recovery that are essential to excitable media. Our model is able to reproduce the dynamics of patterns observed in excitable media.


2019 ◽  
Vol 100 (4) ◽  
Author(s):  
M. Ibrahimi ◽  
O. Gulseren ◽  
S. Jahangirov

2004 ◽  
Vol 15 (06) ◽  
pp. 893-915 ◽  
Author(s):  
TEIJIRO ISOKAWA ◽  
FUKUTARO ABO ◽  
FERDINAND PEPER ◽  
SUSUMU ADACHI ◽  
JIA LEE ◽  
...  

Cellular Automata (CA) are a promising architecture for computers with nanometer-scale sized components, because their regular structure potentially allows chemical manufacturing techniques based on self-organization. With the increase in integration density, however, comes a decrease in the reliability of the components from which such computers will be built. This paper employs BCH error-correcting codes to construct CA with improved reliability. We construct an asynchronous CA of which a quarter of the (ternary) bits storing a cell's state information may be corrupted without affecting the CA's operations, provided errors are evenly distributed over a cell's bits (no burst errors allowed). Under the same condition, the corruption of half of a cell's bits can be detected.


2003 ◽  
Author(s):  
Cosma R. Shalizi ◽  
Kristina L. Shalizi

2015 ◽  
Vol 21 (2) ◽  
pp. 205-224 ◽  
Author(s):  
Leong Ting Lui ◽  
Germán Terrazas ◽  
Hector Zenil ◽  
Cameron Alexander ◽  
Natalio Krasnogor

In the past decades many definitions of complexity have been proposed. Most of these definitions are based either on Shannon's information theory or on Kolmogorov complexity; these two are often compared, but very few studies integrate the two ideas. In this article we introduce a new measure of complexity that builds on both of these theories. As a demonstration of the concept, the technique is applied to elementary cellular automata and simulations of the self-organization of porphyrin molecules.


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