Self-organization in nonrecurrent complex systems

In this paper, systems formed by networks of simple nonlinear cells are stu died. Using lattice models, some of the fundamental features of complex sys tems such as self-organization and pattern formation are illustrated. In th e first part of this work, a lattice of identical Chua's circuit is used to experimentally study its global spatiotemporal dynamics, according to the variation of some macroparameters, like the coupling coefficient or the nei ghboring dimension. The second part of the paper deals with the remarkable improvements regarding regularization and pattern formation, obtained in ne tworks of nonlinear systems by introducing some spatial diversity, especial ly generated by deterministic, unpredictable dynamics. Simulation results s how that synchronixation and self-organization occur in networks with a few nonlocally connected cells, with irregular topology and small spatial dive rsity.