MKNi Geometry for Artificial General Reasoning (AGR): A Unified Cognitive Manifold for Structured Awareness

Abstract The MKNi Geometry introduces a unified cognitive manifold for Artificial General Reasoning (AGR) by modeling awareness as a dynamic trajectory across four axes: Mind (M), Knowledge (K), Nature (N), and Off-axis Reflection (O). Awareness is formalized as a continuous state vector Ψ(t) shaped by differential equations influenced by prediction error, grounding salience, knowledge stability, curvature, and entropy-driven reflection. This paper presents the manifold structure, flow-field dynamics, AGR cycle, and a three-layer architecture suitable for stable, self-regulating reasoning engines. MKNi offers the first explicit geometric model of awareness, providing a foundation for next-generation AGR research.