UMOSU/UMOKWAI — Foundational Phenomena and Domains of Complexity: What an AI Needs to Answer Reliably

Abstract

AbstractUMOSU/UMOKWAI — Foundational Phenomena and Domains of Complexity: What an AI Needs to Answer Reliably**This deposit collects the first systematic, phenomenon-by-phenomenon analysis conducted within the UMOSU/UMOKWAI ontological and epistemic-operational model. The model classifies reality through six foundational phenomena (fA1, fA2, fB1, fB2, fC1, fC2) and two domains of complexity (D1, D2), each defined by a configuration of parameters (Su, Og, Re, Sh, Rc, Fw). The eight documents published here descend from the general level of the classification to the operational one, asking for each phenomenon: what are its real correspondents, which sub-cases compose it, what type of source or authority is competent to verify it, and what an artificial intelligence system concretely needs in order to answer reliably about it.The work brings out results not visible at the model's general level: a three-entry taxonomy of the type of control available (reference source, single-case expert, proper Domain Specialist) applicable to all phenomena; a recurring pattern — and in one case predicted by the model — linked to the presence of an authority with legal power of intervention; a multi-level distinction of control (physical, verification, validation) for phenomena with an intentional component; a recursive problem — "who verifies the verifier" — that takes different forms depending on the phenomenon, resolved in a particularly favourable way in the case of logical-formal demonstration; the absence of an authority responsible for the synthesis in combinatorial phenomena; and a concluding principle according to which a large language model acts as an interface toward an external source of verification, never as a source itself.A presentation document accompanies the collection, listing the discoveries in summary form and fixing their status as a basis for implementation in the ontological Router of the UMOSU-UMOKWAI Modular Ruleset system.This is the English-language publication of the eight documents, following the first publication in Italian.Keywords: UMOSU, UMOKWAI, ontology, operational epistemology, knowledge classification, hallucination prevention, artificial intelligence, reference source, Domain Specialist, ontological Router, falsifiability.