This work presents a foundational corpus dedicated to the structural and dynamic analysis of complex systems through the Crowd-Based Dynamics (CBD) framework. Rather than focusing on isolated events or static states, the corpus examines the mechanisms that govern emergence, propagation, stabilization, saturation, transformation, and loss of governability within collective systems. Structured into eighteen interconnected documents, the corpus develops a progressive exploration of perception, regime formation, information propagation, temporality, thresholds, reversibility, adaptation, collective coherence, and the limits of the knowable. The CBD framework is employed as a structural reading operator designed to identify dynamic regimes, transformation thresholds, and systemic constraints rather than to predict specific events. The corpus proposes a unified analytical architecture applicable to social systems, collective behaviors, financial dynamics, informational ecosystems, artificial intelligence, and adaptive systems. By emphasizing accumulation, saturation, temporal dynamics, and regime transitions, it provides a common framework for understanding how systems evolve, stabilize, become fragile, and transform under internal and external constraints. This publication constitutes a foundational theoretical base for the broader CBD ecosystem, including CBD-Finance, ECA, RAG-RES, UCQ, DUAL, and related research programs dedicated to complexity, governability, and collective dynamics.
Wilson John Sterking LAURET (Sat,) studied this question.
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