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Reaction-Diffusion Processes as a Computational Paradigm

Turing introduced reaction diffusion systems (RD-systems) as a mechanism which made possible the differentiation of morphological structure[8]. We have shown how these systems can be used to provide an information network for smart sensor systems[1]. However, we propose here that reaction diffusion systems provide a more general computational model, and indeed, can be shown to include the Turing machine model (or recursive function theory, etc.). Others have influenced the development models of intelligence or learning based on dissipative systems or far from equilibrium systems. Prigogine[7] sets forth three major theses related to our study: