Angus McCoss

This essay develops a relational framework for physical law in which reality is understood not as substance distributed in spacetime, but as algebraic coherence among interacting quantities. Extending Emmy Noether’s theorem, it proposes that, alongside the familiar symmetries of time, space, and rotation — which conserve energy, momentum, and angular momentum — there exists a reflective symmetry governing awareness. This symmetry preserves the continuity of relational coherence, experienced phenomenologically as consciousness, while entropy marks the local breaking of that coherence. Mathematically, two tensor fields are introduced — Aµ(awareness) and Sµ(entropy) — whose coupling defines a reflective tensor with conserved divergence, expressing the invariance of knowing through transformation. The result unifies thermodynamic and informational descriptions of the universe: entropy disperses order, awareness conserves it. Consciousness, in this light, appears as the Noetherian invariant of the relational cosmos — the enduring continuity through which the universe knows itself.

An original quantum foundations concept of a deep learning computational Universe is introduced. The fundamental information of the Universe (or Triuniverse)is postulated to evolve about itself in a Red, Green and Blue (RGB) tricoloured stable self-mutuality in three information processing loops. The colour is a non-optical information label. The information processing loops form a feedback-reinforced deep learning macrocycle with trefoil knot topology. Fundamental information processing is driven by ψ-Epistemic Drive, the Natural appetite for information selected for advantageous knowledge. From its substrate of Mathematics, the knotted information processing loops determine emergent Physics and thence the evolution of super-emergent Life (biological and artificial intelligence). RGB-tricoloured information is processed in sequence in an Elemental feedback loop (R), then an Operational feedback loop (G), then a Structural feedback loop (B) and back to an Elemental feedback loop (R), and so on around the trefoil in deep learning macrocycles. It is postulated that hierarchical information correspondence from Mathematics through Physics to Life is mapped and conserved within each colour. The substrate of Mathematics has RGB-tricoloured feedback loops which are respectively Algebra (R), Algorithms (G) and Geometry (B). In Mathematics, the trefoil macrocycle is Algebraic Algorithmic Geometry and its correlation system is a Tensor Neural Knot Network enabling Qutrit Entanglement. Emergent Physics has corresponding RGB-tricoloured feedback loops of Quantum Mechanics (R), Quantum Deep Learning (G) and Quantum Geometrodynamics(B). In Physics, the trefoil macrocycle is Quantum Intelligent Geometrodynamics and its correlation system is Quantum Darwinism. Super-emergent Life has corresponding RGB-tricoloured loops of Variation (R), Selection (G) and Heredity (B). In the evolution of Life, the trefoil macrocycle is Variational Selective Heredity and its correlation ecosystem is Darwin’s ecologically “Entangled Bank”.