智能源于耗散结构优化自身不确定性的自指耗散 "Intelligence arises from dissipative structures optimizing their own uncertainty through self-referential dissipation."

Foundational papers for the Symmetrical Convergence (SymC) framework. Establishes χ ≈ 1 as a universal stability boundary governing quantum-classical transitions, parameter emergence, and adaptive system behavior. The theoretical core from which all domain-specific applications derive.

Cosmological applications of the SymC framework. Applies χ ≈ 1 stability principles to universe-scale phenomena including cosmic acceleration onset, black hole thermodynamics, and cyclical cosmology. Demonstrates framework consistency from quantum boundaries to cosmic structure.Retry

Étude théorique sur la création de "Cristaux Temporels Chimiques" : comment la frustration géométrique, la topologie et le confinement photonique peuvent stabiliser des réactions hors équilibre sans dissipation excessive

Victoria-Nash Asymmetric Equilibrium (VNAE) framework for massive multi-agent systems. Scalable stability analysis for 10,000+ agents using Riemannian geometry and structural curvature K.

Geometric model of asymmetric coordination in biological systems under the Victoria-Nash Asymmetric Equilibrium (VNAE) framework.

Architecture d'IA Topologique exploitant les réseaux Kagomé, les Cristaux Temporels de Floquet et le Calcul Rétrocausal pour atteindre la complexité PSPACE au-delà des limites NISQ

Asymmetric liquidity flow dynamics in financial networks, interpreted via effective geometry and stability under the Victoria-Nash Asymmetric Equilibrium (VNAE).

Abstract model of rhythm synchronization driven by asymmetric dissipation under VNAE.

Practical example of the Victoria-Nash Asymmetric Equilibrium (VNAE) applied to multi-agent drone control. Paper: "Riemmanian Manifolds of Asymmetric Equilibria: The Victoria-Nash Geometry".