Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Davidson, Craig Kylre Strachan
Fformat: Recurso digital
Iaith:
Cyhoeddwyd: Zenodo 2026
Pynciau:
Mynediad Ar-lein:https://doi.org/10.5281/zenodo.19626204
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Tabl Cynhwysion:
  • <p>The Davidson Hub is a domain-agnostic inference architecture designed to reconstruct latent states, detect drift, and support decision-making under uncertainty. Built on four layers — Witness, Sentinel, Engine, and Constraint Geometry — the system formalises how incomplete, noisy, or contradictory inputs are transformed into bounded, auditable interpretations.</p> <p>Unlike conventional analytic systems, the Hub assumes unreliable inputs by default and integrates constraint geometry and adversarial self-monitoring directly into the inference objective. Continuous drift detection, integrity scoring, and internal adversarial testing ensure robustness under real-world conditions.</p> <p>The architecture introduces a closed-loop inference framework in which monitoring, validation, and reconstruction are intrinsically coupled. By embedding admissibility constraints and identifiability limits within the inference process, the system prevents unstable or non-physical interpretations while maintaining domain adaptability.</p> <p>The Davidson Hub defines a new class of secure inference system suitable for regulated sectors, distributed environments, and high-stakes decision contexts where reliability, traceability, and robustness are essential.</p>