Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems

@article{Lones2014ArtificialBN,
  title={Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems},
  author={Michael A. Lones and Luis A. Fuente and Alexander P. Turner and Leo S. D. Caves and Susan Stepney and Stephen L. Smith and Andrew M. Tyrrell},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2014},
  volume={18},
  pages={145-166}
}
Biological organisms exist within environments in which complex nonlinear dynamics are ubiquitous. They are coupled to these environments via their own complex dynamical networks of enzyme-mediated reactions, known as biochemical networks. These networks, in turn, control the growth and behavior of an organism within its environment. In this paper, we consider computational models whose structure and function are motivated by the organization of biochemical networks. We refer to these as… CONTINUE READING
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