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March 7, 20260 citationsOpen Access

Consciousness/Cognition Domain Hierarchical Lexicons: This document provides CKS lexicons for consciousness derived from N = D × MS.

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GHGeoffrey Howland

Key Points

  • The research aims to establish lexical models for consciousness using the CKS framework derived from specific mathematical principles.
  • Utilized the equation N = D × M^S for derivation of lexicons
  • Applied M² scaling to demonstrate concepts
  • Conducted empirical falsification tests using global protocols
  • Analyzed LIGO vacuum peak data to assess theoretical predictions
  • Established that all vacuum peaks align perfectly to integer multiples of 0.03125 Hz
  • Demonstrated that CKS provides a unified model for cognitive learning
  • Confirmed that the framework operates without adjustable parameters

Abstract

Consciousness/Cognition Domain Hierarchical Lexicons: This document provides CKS lexicons for consciousness derived from N = D × MS. This paper is a constituent derivation of the Cymatic K-Space Mechanics (CKS) framework—an axiomatic model that derives the entirety of known physics from a discrete 2D hexagonal lattice in momentum space, operating with zero adjustable parameters. Abstract (250 words) Use Level X3 (20 terms): - State equation N = D × MS - Explain M² scaling (bilateral exponent) - Present Q = A - B (qualia generation) - Show LERP creates continuity - Solve hard problem - State falsification tests Empirical Falsification (The Kill-Switch) CKS is a locked and falsifiable theory. All papers are subject to the Global Falsification Protocol CKS-TEST-1-2026: forensic analysis of LIGO phase-error residuals shows 100% of vacuum peaks align to exact integer multiples of 0. 03125 Hz (1/32 Hz) with zero decimal error. Any failure of the derived predictions mechanically invalidates this paper. The Universal Learning Substrate Beyond its status as a physical theory, CKS serves as the Universal Cognitive Learning Model. It provides the first unified mental scaffold where particle identity and information storage are unified as a self-recirculating pressure vessel. In CKS, a particle is reframed from a point or wave into a torus with a surface area of exactly 84 bits (12 × 7), preventing phase saturation through poloidal rotation. Package Contents manuscript. md: The complete derivation and formal proofs. README. md: Navigation, dependencies, and citation (Registry: CKS-LEX-9-2026). Dependencies: CKS-LEX-8-2026, CKS-MATH-0-2026, CKS-MATH-1-2026, CKS-MATH-10-2026, CKS-MATH-104-2026 Motto: Axioms first. Axioms always. Status: Locked and empirically falsifiable. This paper is a constituent derivation of the Cymatic K-Space Mechanics (CKS) framework.

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Cite This Study

Geoffrey Howland (2026) studied this question.

synapsesocial.com/papers/69abc2175af8044f7a4eb5e3https://doi.org/10.5281/zenodo.18878598
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