Self-organized systems as a research area investigate distributed processes in which macroscopic order, structure, or function emerges from local interactions among many components without centralized control. The field encompasses theoretical modeling, analysis, and simulation of nonlinear dynamical systems, often drawing on statistical physics, complex systems theory, network science, and information theory. Research focuses on identifying generic mechanisms (e.g., feedback loops, pattern formation, criticality), characterizing robustness and adaptability, and deriving principles that explain emergent behavior in physical, biological, social, and engineered systems, with applications to swarm robotics, decentralized control, collective decision-making, and adaptive infrastructure.
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