Crowd Dynamics and Behavior

This document proposes an architecture for stable and aligned AI, inspired by collective psychodynamics, by transposing concepts such as mimetic memory, emotional thresholds, and CBD (Convergence-Tilt-Dissipation) regimes to artificial systems. It critiques current AI architectures for their reliance on exogenous feedback, leading to instability, reward hacking, and out-of-distribution fragility, and suggests cumulative internal constraints for endogenous stability. The unive

The Universal Model of Crowd and Market Dynamics extends Dow Theory by integrating collective psychology, mimetic memory, and supply-demand imbalances within a predictive mathematical framework. It is based on a fundamental formula: P(t) = A ψ(S, R, V, M, D, C) × [O(t) ↔ D(t)], formalizing the interactions between psychological thresholds, emotional volume (V via RSI), and the narrative modulator ψ. The internal variables (V(t), ∥D(t), M, ψ(t)) ensure causality and timing, wi

The CBD formula is a theoretical framework for modeling collective behavior in crowds, financial markets, and social systems, showing how complexity emerges from nonlinear local interactions without central control. It is based on fundamental variables (S, R, V, D, C, M, T, I) that interact at three levels: infinitesimal (initial conditions), intermediate (nonlinear dynamics with feedback and bifurcations), and macroscopic (observable phenomena such as bubbles or social movem

Reality is not an objective given, but an emergent phenomenon of consciousness, filtered by the ego, cognitive biases, and collective interactions. Truth does not reside in accumulated knowledge or models, but in the observing Self, capable of perceiving and transforming these filters. Ordered structures, including mathematics, emerge as secondary consequences of resonant psychodynamic and collective processes.

DUAL is a structural framework designed to analyze transformation processes in complex systems under constraint. It explores how systems evolve, not through rupture, but through internal regime shifts. The framework emphasizes the role of latent dynamics that precede observable change. It introduces a dual-layer structure linking visible states to underlying invisible configurations. Within this perspective, reality is understood as a temporary stabilization under constraint