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In the paper, processes of self-organization in nature are considered as computational processes. At the same time, it is emphasized that various computational paradigms for the study of complex patterns are possible: reaction-diffusion computing, collision-based computing, swarm computing, quantum information, fuzzy balanced sets, fractals, nonlinear systems. These approaches allow complex patterns not only to be simulated, but also programmed.