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

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
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article

Governed Agentic Closure in U.F.O.

Don Michael Feeney Jr.
Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
article

Governed Agentic Closure in U.F.O.

Don Michael Feeney Jr.
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
AI-based Problem Solving and Planning
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Governed Agentic Closure in U.F.O. — Don Michael Feeney Jr. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS