In highly technical terms, the "Level of Organization" of a system refers to the hierarchical stratification of its structural and functional components, ranging from fundamental microscopic interactions to emergent macroscopic behaviors. This concept is crucial in physics, biology, complexity science, and engineering when modeling systems with multiscale dynamics, memory, or adaptive laws.

Guiding Questions:

• How new ontic entities arises - from lower elements? How to they give rise to new pieces of reality?
• ….

1. Microscopic (Low-Level) Organization

• Definition: The finest-grained description, governed by fundamental laws (e.g., quantum mechanics, molecular dynamics).
• Key Features:
  • Deterministic or stochastic primitive interactions (e.g., Hamiltonian/Lagrangian dynamics, collision kernels).
  • No emergent properties—behavior is fully described by local rules.
• Examples:
  • Atoms in a lattice (condensed matter physics).
  • Individual neurons firing (computational neuroscience).
  • Agents in a particle-based simulation (e.g., molecular dynamics).

2. Mesoscopic (Intermediate-Level) Organization

• Definition: Coarse-grained descriptions where microscopic details are statistically averaged, but emergent phenomena begin to appear.
• Key Features:
  • Master equations, Fokker-Planck equations, or kinetic theory (e.g., Boltzmann transport).
  • Memory effects may arise due to hidden microscopic degrees of freedom (e.g., non-Markovian dynamics).
• Examples:
  • Reaction-diffusion systems (chemistry).
  • Traffic flow models (vehicles as continuum densities).
  • Neural population dynamics (mean-field approximations).

3. Macroscopic (High-Level) Organization

• Definition: System-wide behavior described by emergent laws, often decoupled from microscopic details.
• Key Features:
  • Effective field theories or hydrodynamic limits (e.g., Navier-Stokes from molecular chaos).
  • Broken symmetries (e.g., phase transitions).
• Examples:
  • Fluid turbulence (energy cascades).
  • Market dynamics (efficient-market hypothesis).
  • Organism-level physiology (from cellular networks).