Systems Evolution — Levels of Evolution

Topic: Systems Evolution — Levels of Evolution
1) Movement of elements of a system as an average
(a*w+b*w)/2 of own inertia movement and interaction
distances, where weights are static.

• ex. particles in space 2) Element calculates and decides by some advanced logic (a*w+b*w)/2, there are systems of systems, where weights change.
  • ex. stars, life 3) Some elements may mirror the structure of several lower and higher levels of hierarchy within themselves, understanding their own place in the hierarchy. Intelligence.
  • ex. higher animals, humans 4) Element knows something more? Cosmological modeling?

Where an element is a subsystem of a system; all

subsystems evolve but at different speeds.

Classic ML vs. DL–LLM–AL Difference:
The latter has many internal parameters and two-step
learning, which can automatically learn and store
hierarchical features and patterns without manual
intervention, allowing handling of diverse, unstructured
data. Two-step learning allows LLMs to mimic humans at a
very high level, which we call artificial intelligence.