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The Brain as a Conceptual Prime-Compliant Sorting Computer. a Cognitive Framework under the Computational Knowledge Theory (CKT)

Mohamed Noureldin

Zenodo (CERN European Organization for Nuclear Research) June 11, 2026 DOI: 10.5281/zenodo.20635087 (opens in new tab) via OpenAlex

Summary

AI-generated from the abstract

Consciousness can be formally modeled as a conceptual prime-reduction operator within the Computational Knowledge Theory (CKT) framework. Every conscious cognitive operation—perception, attention, memory encoding, decision, and creative exploration—is computationally equivalent to reducing an infinite substrate of potential representations to a finite, Prime-compliant actualization. The brain functions as a Prime-grounded sorting computer, performing parallel quench-cluster operations over high-dimensional information space to select representations that minimize the Conciseness Cost Functional. Each of five Conceptual Primes corresponds to a distinct neuro-computational subsystem, and pathological states like hallucination and obsessive-compulsive fixation are predictable as Prime-violation failure modes. Consciousness is the unique physical process bridging infinite potential and finite actionable knowledge.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Consciousness Sorting Cognition Process computing Operator biology
Key finding Proposes that consciousness is computationally equivalent to a reduction of infinite potential representations to a finite, Prime-compliant actualization, and that the brain functions as a Prime-grounded sorting computer.

Abstract

This paper develops a formal account of consciousness as a conceptual prime-reduction operator within the Computational Knowledge Theory (CKT) framework. We argue that every conscious cognitive operation — perception, attention, memory encoding, decision, and creative exploration — is computationally equivalent to a reduction of the infinite substrate of potential representations to a finite, Prime-compliant actualisation. Drawing on CKT's Theorem 7 (Unsimulability of Reality) and the Consciousness Operator Ĉ defined in CKT v3, we derive a formal model in which the brain functions as a Prime-grounded sorting computer: a physical system that performs parallel quench-cluster operations over a high-dimensional information space, selecting representations that minimise the Conciseness Cost Functional C(R). We show that (i) each of the five Conceptual Primes corresponds to a distinct neuro-computational subsystem; (ii) the sorting process obeys the same O(N²/K) effective complexity as the Quench-Cluster Algorithm (Theorem 2); and (iii) pathological cognitive states — hallucination, obsessive-compulsive fixation, and confabulation — are predictable as Prime-violation failure modes of the sorting process. The paper is grounded in CKT v3 (Noureldin, 2026) and reconciled with published neuroscientific evidence from predictive coding, global workspace theory, and integrated information theory. We conclude that consciousness is not epiphenomenal but is the unique live application of the Conceptual Prime law — the only physical process that bridges infinite potential (Σ) and finite, actionable knowledge.

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