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Structure of Self Organized Ontologies
Self-organized systems are fascinating because they demonstrate how order can arise from seemingly random interactions, without centralized control. Self organized ontologies exist in nature and they manifest in societies through different forms of nurture. Self-organized systems as a whole exhibits behaviors that are not present in its individual components. There’s no single, central authority dictating the system’s behavior. Instead, control is distributed among the system’s components, which interact locally. Self-organized systems rely on feedback loops, both positive and negative, to regulate their behavior. Positive feedback can amplify changes, while negative feedback can stabilize the system.
Self-organized systems can adapt to changing environments and often exhibit resilience, so that they can recover from disruptions. These systems demonstrate non-linearity because of the affinity between the inherent order and emergent randomness. Hence, small changes in one part of the system can have disproportionately large effects on the whole network. Self-organized systems often produce complex and entangled patterns, even from simple interactions. There is a tremendous potential in self organized systems to demonstrate higher degrees of freedom due to its spontaneous surge of order. Order arises spontaneously from the interactions of the system’s components, without any…