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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Awareness Theory of Everything (ATE): A Recursive Classification Framework for Physical Law

The Awareness Theory of Everything (ATE): A Recursive Classification Framework for Physical Law

Hamaoui, Nathan

Paperback

Physics

ISBN10: 1105602729
ISBN13: 9781105602726
Publisher: Lulu.com
Published: Feb 23 2026
Pages: 168
Weight: 0.89
Height: 0.36 Width: 8.50 Depth: 11.00
Language: English
The Awareness Theory of Everything (ATE) proposes a minimal, pre-geometric ontology in which awareness-understood strictly as the capacity for distinction-is taken as the sole primitive. From this single axiom, a recursive binary classification architecture (spacelike AND and timelike OR operators acting on id/complement pairs) generates, through finite-depth closure and classification-cost minimization, the essential structures of modern physics: spacetime, the invariant speed of light, quantum phase, the Born rule, gauge symmetries, mass-energy equivalence, and the fine-structure constant. This February 2026 edition (166 pages) includes a new Appendix H containing a fully executable Python toy model that demonstrates, with no external assumptions: - Emergence of the Born rule from quadratic stability of Z₄ completion weights - Emergence of the invariant-speed light-cone from recursive propagation balance - Numerical derivation of the fine-structure constant α ≈ 1/137.000 directly from the minimal proton classification depth D = 612 and the interaction-budget tolerance mechanism (Appendix E) The framework is continuous: the same recursive distinction operation that yields particle physics at low depth produces higher-order integrated closure at greater depth, offering a unified ontological ladder from fundamental physics to reflective awareness. The theory makes explicit, falsifiable predictions regarding finite-depth saturation effects, environmental dependence of constants, and proton stability signatures, several of which are now quantitatively anchored by the computational model.

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