Molecular image‐processing devices based on chemical reaction systems. 6: Processing half‐tone images and neural network architecture of excitable media

Evolving Control Metabolisms for a Robot

“…Artificial chemical computing has been the topic of several contributions in recent years. Hjemlfelt et al [21], Okamoto et al [30], and Mills et al [28], for example, investigated the possibilities of realizing artificial neural networks or Turing machines in vitro; Arkin [5] discovered computational functions in biochemical reaction networks; Adleman realized a DNA-based solution of a combinatorical problem [3]; and Adamatzki et al [2,32,33] proposed the use of oscillating reactions like the Belousov-Zhabotinsky reaction for mobile robot control. Artificial chemical computing has been used for control tasks, especially for mobile robots.…”

Biomolecular nonlinear dynamic mechanisms as a foundation for human traits of information processing machine

“…The nonlinear mechanisms inherent in the dynamics of distributed biomolecular systems seem to be the basic fundamental that determined the information processing for problems of high computational complexity, see details in Grossberg (1976;1988) and Rambidi and Maximychev (1997a).…”

“…268 N.G. RAMBIDINonlinear mechanisms of information processing are responsible for a number of complex responses biomolecular and simple biological system to external stimuli equivalent to solving problems of high computational complexity.Finally the multilevel architecture enables biomolecular and simple biological systems to perform information processing operations of high computational complexity.These fundamentals are of different importance for solving problems of high computational complexity.The nonlinear mechanisms inherent in the dynamics of distributed biomolecular systems seem to be the basic fundamental that determined the information processing for problems of high computational complexity, see details in Grossberg (1976;1988) and Rambidi and Maximychev (1997a).The second in the line fundamental that gives the system the ability to solve computationally complex problems is its multilevel organization. The main principles and details of organization were discussed in details by Nicolis (1986).From these considerations and bearing in mind the speculations of the previous section, note that both behavioral complexity of the system and its ability to solve problems of high computational complexity are determined by the same fundamentals of a reactiondiffusion system.…”