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Emergent Order in Complex Networks: Admissibility and Macro-Structure Formation
Complex systems often exhibit large-scale patterns and structures that arise from the interaction of many smaller components. These emergent structures appear without central control yet display coherence and stability across large networks. Examples include economic market patterns, ecological population distributions, traffic flows, and communication network behaviour. This paper interprets emergent order within the Paton System framework as the formation of admissible macro-structures arising from constraint-compatible interactions among system components. When local interactions remain compatible with structural limits, stable large-scale patterns may emerge. When interactions exceed these limits, emergent order may destabilise or collapse. Understanding emergent order through admissibility provides a structural interpretation of pattern formation in complex systems.
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