FEDI: Fion-Enhanced Distributed Intelligence (GA 1.2.0) A Physics-Inspired Architecture for Epistemic AI

Current AI systems lack epistemic coherence, leading to hallucinations and unstable reasoning. We present FEDI (Fion-Enhanced Distributed Intelligence), a distributed cognitive architecture where reasoning emerges from informational stability rather than statistical correlation. ​FEDI implements autonomous cognitive nodes—Fion Units (FUs)—that maintain stable knowledge states through mutual information coupling, redundancy minimization, and the Loop-5 Cycle: a five-stage epistemic validation process ensuring geometric consistency, spectral stability, and falsifiability. Grounded in the Fion Theory's \varphi-field formalism, the system treats information as a physical quantity from which coherence emerges naturally. ​On standardized reasoning benchmarks, FEDI reduces hallucinations by 75% compared to GPT-4 (0.8% vs. 3.2%) and achieves an epistemic coherence score of \varphi = 0.91 (vs. 0.73 baseline). This paper establishes a physics-inspired, interpretable, and reproducible foundation for next-generation artificial cognition. Full implementation and evaluation protocols will be released publicly.