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
Mechanisms of Emergent Computation in Cellular Automata
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Evolutionary consequences of coevolving targets
Evolutionary Computation
Resource sharing and coevolution in evolving cellular automata
IEEE Transactions on Evolutionary Computation
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Many bacteria carry gene complexes that code for a toxin-antidote pair, e.g. colicin systems. Such gene complexes can be advantageous for its host by killing competitor bacteria while the antidote protects the host. However, in order to evolve a novel and useful toxin first a proper antidote must be evolved. We present a model of bacteria that can express and evolve such allelopathic systems. Although in the model novel types must evolve from existing types we find that nevertheless in general a high diversity of toxins evolves and, as a side-effect thereof, generalized immunity mechanisms. We interpret the allelopathic systems in terms of an optimization problem: fitness cases are toxins and solutions present (potential) antidotes. As a side-effect of the evolution of allelopathic systems generalized solutions of the optimization task are evolved as well.