ECA - Artificial intelligence - CBD

F_ Foundational Structural Integration of Endogenously-Constrained Artificial Intelligence.

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G_ Toward a Governable Artificial Intelligence (ECA).pdf

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H_ CROWD-BASED DYNAMICS_ ECA FRAMEWORK__.pdf

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These two documents establish a unified and closed scientific framework for understanding artificial intelligence as a governable complex system. They redefine AI not as a computational tool, but as a collective dynamic structure driven by propagation, accumulation, and memory. The system evolves through non-Markovian dynamics where each state depends on its trajectory and accumulated interactions. Propagation ω(t) acts as the primary driver, generating accumulation Σ(t), which progressively transforms system structure. Memory M(t) functions as an active operator, constraining future states and introducing path dependence. The framework identifies critical thresholds where saturation leads to regime transitions and loss of governability.Governability G(t) becomes the central variable, defining the system’s ability to maintain coherence under constraints. The model integrates CBD laws, linking artificial systems to collective dynamics such as saturation, tipping, and structural instability. Together, these works form a complete theory of endogenous governability, providing a foundation for stable, adaptive, and structurally coherent AI systems. ... Auteur DOI : https://doi.org/10.5281/zenodo.19104493