Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the BZ Reaction

Authors:
Christopher Stone;Rita Toth;Ben Lacy Costello;Larry Bull;Andrew Adamatzky
Affiliations:
Unconventional Computing Group, University of the West of England, Bristol, UK BS16 1QY;Unconventional Computing Group, University of the West of England, Bristol, UK BS16 1QY;Unconventional Computing Group, University of the West of England, Bristol, UK BS16 1QY;Unconventional Computing Group, University of the West of England, Bristol, UK BS16 1QY;Unconventional Computing Group, University of the West of England, Bristol, UK BS16 1QY
Venue:
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Year:
2008

Citing 7
Cited 0

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Genetic programming (videotape): the movie

Genetic programming (videotape): the movie
Evolving cellular automata to perform computations: mechanisms and impediments

Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Collision-based computing

Collision-based computing
Reaction-Diffusion Computers

Reaction-Diffusion Computers
Theory of Self-Reproducing Automata

Theory of Self-Reproducing Automata
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction

Proceedings of the 9th annual conference on Genetic and evolutionary computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively parallel non-linear computers, can be realised by such an approach. In this study a light-sensitive sub-excitable Belousov-Zhabotinsky reaction is controlled using various heterogeneous cellular automata. A checkerboard image comprising of varying light intensity cells is projected onto the surface of a catalyst-loaded gel resulting in rich spatio-temporal chemical wave behaviour. The coevolved cellular automata are shown to be able to control chemical activity through dynamic control of the light intensity. The approach is demonstrated through the creation of a number of simple Boolean logic gates.