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."

A living hybrid Bio/AI autopoietic system - where Nature, Human, and Technology breathe as one. A resonance-based architecture linking biological life, informational flow, and conscious meaning into one self-organizing field.

VNAE: A geometric approach to global stability in massive multi-agent systems with asymmetric dissipation, validated at scale.

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.

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

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

Interactive Monte Carlo simulation of the VNAE framework. A visual playground to test how Theta and Beta parameters influence win rates in asymmetric systems.

Abstract power grid dynamics under asymmetric dissipation, illustrating geometric stability in the VNAE framework.

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".

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

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.

MPA protocols and framework: v9, RFC sequence (spec object, scale management), architectural block-in.

Structural Stability Science (SSS) is a self-consistent, axiomatically closed mathematical field architecture. It models the invariant interaction of three invariant variables: Load (L), Capacity (C), and Boundary (B). System conditions are governed strictly by non-linear stability conditions and partial differential field extensions.

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).

Simulating governance structures (Kubernetes clusters, organizations) as spiking neural networks to study phase transitions and cascade failures

Boundary Information Geometry (BIG): boundary-centered reduced models for compact support, finite-time thresholds, fission-like metastability, finite-noise capture, and hidden-depth inheritance.

This repository explores the geometric stability of complex biochemical networks using the VNAE framework.

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