NSDM publications separate established evidence, mathematical derivation, structural correspondence and original hypothesis. Working papers are not presented as peer-reviewed findings.
These documents are original MetaForgeX AI and NSDM research outputs. Each download carries its research status, assumptions and known limitations.
A Boundary-Complexity Hypothesis for Decision Intelligence
Proposes that useful policy capacity may depend more on the complexity of action-changing regions than on the full volume of the state space. The paper presents a covering-number argument and a falsifiable experimental programme.
Mathematical Appendices to the Boundary-Complexity Hypothesis
States the boundary covering bound under explicit assumptions, narrows the rate-distortion and free-energy claims, separates the physical analogy from the mathematical result, and defines a concrete falsification protocol.
The boundary expression now uses the intrinsic dimension k. The epsilon-squared form appears only as a special case.
Rate-distortion, variational free energy and holographic entropy are no longer described as universally identical results.
The papers now specify synthetic recovery, boundary-shell localisation, representation stability and capacity-knee tests.
The Institute links to official sources rather than redistributing third-party publications unless their licences clearly permit it.
The seminal physical result relating black-hole entropy to horizon area. It supports the historical physics context, not an identity with decision-policy entropy.
Frames variational free energy as a tractable bound on surprise in a theory of perception, learning and action.
Formalises the compression of an input while preserving information relevant to a target variable.
Provides the legitimate feature-space foundation for quantum-kernel research without implying automatic computational advantage.