COMPUTATIONAL KNOWLEDGE THEORY (CKT).

This paper formally establishes, under the Conceptual Prime axioms, that the computational universe is governed by a single unifying law: the Conceptual Primes. Seven interlocking theorems are established across complexity theory, epistemology, information compression, evolutionary biology, temporal system dynamics, artificial intelligence architecture, and the unsimulability of reality. Theorem 1 (Reality-Complexity Equivalence) establishes that stable complexity is bounded by the weakest Prime — P̂(S) = min_i Pᵢ(S) — and collapses to zero if any Prime is violated. Theorem 2 (Prime-Tractability) demonstrates that NP-Hard problems are intractable only in the purely abstract domain and become tractable at O(N²/K) effective complexity when solved by Prime-compliant algorithms grounded in physical reality. Theorem 3 (Conciseness Standard) proves that C(R) is the unique universal metric for lossless knowledge compression. Theorem 4 (Knowledge Accumulation Law) establishes that knowledge grows if and only if new information reduces total system entropy, incorporating the CAKI metric and the D(Ω) Defect Function as formal measures. Theorem 5 (Gödel's Ceiling) connects formal mathematical limits to biological evolution and AI scaling. Theorem 6 (Cardinal Value Lemmas) formalises Wisdom, Peace, Creativity, and Evolving Order as temporal combinations of the Primes, deriving the Prime-Base Intelligence corollary. Theorem 7 (Unsimulability of Reality) proves that no finite simulation can contain the live Prime-combination law of actualisation — Consciousness is the unique bridge between infinite potential and finite territory. The framework defines a two-stage computational architecture: a Training Evaluation Form (5-term Prime-resolved C(R) + CAKI) for grounding knowledge in Prime compliance and calibrating domain-dependent λ-weights, and an Inference Selection Form (3-term operational C(R)) for selecting minimum-cost outputs. Dynamic λ-adaptation connects both stages, enabling domain-calibrated intelligence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20444442
Primary Topic
Computability, Logic, AI Algorithms
Type
article
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article

COMPUTATIONAL KNOWLEDGE THEORY (CKT).

MOHAMED NOURELDIN
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

COMPUTATIONAL KNOWLEDGE THEORY (CKT).

MOHAMED NOURELDIN
article en

Abstract

This paper formally establishes, under the Conceptual Prime axioms, that the computational universe is governed by a single unifying law: the Conceptual Primes. Seven interlocking theorems are established across complexity theory, epistemology, information compression, evolutionary biology, temporal system dynamics, artificial intelligence architecture, and the unsimulability of reality. Theorem 1 (Reality-Complexity Equivalence) establishes that stable complexity is bounded by the weakest Prime — P̂(S) = min_i Pᵢ(S) — and collapses to zero if any Prime is violated. Theorem 2 (Prime-Tractability) demonstrates that NP-Hard problems are intractable only in the purely abstract domain and become tractable at O(N²/K) effective complexity when solved by Prime-compliant algorithms grounded in physical reality. Theorem 3 (Conciseness Standard) proves that C(R) is the unique universal metric for lossless knowledge compression. Theorem 4 (Knowledge Accumulation Law) establishes that knowledge grows if and only if new information reduces total system entropy, incorporating the CAKI metric and the D(Ω) Defect Function as formal measures. Theorem 5 (Gödel's Ceiling) connects formal mathematical limits to biological evolution and AI scaling. Theorem 6 (Cardinal Value Lemmas) formalises Wisdom, Peace, Creativity, and Evolving Order as temporal combinations of the Primes, deriving the Prime-Base Intelligence corollary. Theorem 7 (Unsimulability of Reality) proves that no finite simulation can contain the live Prime-combination law of actualisation — Consciousness is the unique bridge between infinite potential and finite territory. The framework defines a two-stage computational architecture: a Training Evaluation Form (5-term Prime-resolved C(R) + CAKI) for grounding knowledge in Prime compliance and calibrating domain-dependent λ-weights, and an Inference Selection Form (3-term operational C(R)) for selecting minimum-cost outputs. Dynamic λ-adaptation connects both stages, enabling domain-calibrated intelligence.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Computability, Logic, AI Algorithms
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