Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
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
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Collision-based computing
Evolving Globally Synchronized Cellular Automata
Proceedings of the 6th International Conference on Genetic Algorithms
Evolutionary Computation
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
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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 in which a checkerboard image comprised of varying light intensity cells projected onto the surface of a catalyst loaded gel is controlled using a heterogeneous cellular automaton. Pulses of wave fragments are injected onto the gel resulting in rich spatio-temporal behaviour and a coevolved cellular automaton is shown able to either increase or decrease the chemical activity through dynamic control of the light intensity within each cell in both simulated and real chemical systems.