Dynamic control and information processing in the Belousov-Zhabotinsky reaction using a coevolutionary algorithm.
We propose that the behavior of nonlinear media can be controlled dynamically through coevolutionary systems. In this study, a light-sensitive subexcitable Belousov-Zhabotinsky reaction is controlled using a heterogeneous cellular automaton. A checkerboard image comprising of varying light intensity cells is projected onto the surface of a catalyst-loaded gel resulting in rich spatiotemporal chemical wave behavior. The coevolved cellular automaton is shown to be able to either increase or decrease chemical activity through dynamic control of the light intensity within each cell in both simulated and real chemical systems. The approach is then extended to construct a number of simple logical functions.
Toth
Rita
R
Unconventional Computing Group, University of the West of England, Bristol BS16 1QY, United Kingdom. Rita.Toth@hotmail.com
Stone
Christopher
C
Adamatzky
Andrew
A
de Lacy Costello
Ben
B
Bull
Larry
L
D000465:Algorithms; D002384:Catalysis; D004058:Diffusion; D008027:Light; D008956:Models, Chemical; D017711:Nonlinear Dynamics; D013997:Time Factors