Governed Agentic Closure in U.F.O.
Governed Agentic Closure in U.F.O. presents an engineering reference model for bounded and inspectable agentic execution within the User-Formed Optimization (U.F.O.) architecture. The work composes existing U.F.O. mechanisms—including the radial membrane, Twelve Strings, V-Channel propagation, Bounded Compute Envelope, temporal governance, semantic memory, Symmetric Ascension Operator, multi-agent coordination, and existing planning and tool-execution components—into an explicit recurrent cycle: Intent → Plan → Admission → Execution → Observation → Verification → Residual → Reflection → Memory → Closure. The model separates planning from authorization, tool execution from outcome verification, observation from durable memory, reflection from authoritative state mutation, and action completion from permission to continue. It introduces explicit Intent Contracts, Prospective Agentic Admission, Agentic Residuals, Agentic Closure, and Action Receipts, together with BEDROCK-derived invariants and a falsification-oriented implementation framework for U.F.O. v5.0.0. This work is presented as one research interpretation of governed agentic AI within a developing field. It does not claim to define agentic AI universally, establish general intelligence, guarantee safe autonomy, or provide universal rollback or optimal planning.
Authors
- Don Michael Feeney Jr. (ORCID: https://orcid.org/0009-0003-1350-4160)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-04
- DOI
- https://doi.org/10.5281/zenodo.23130804
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 0.00