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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Toward an Operational Ontology of Agentic Action

Authors: Souza Carvalho, Rudson Kiyoshi;

Toward an Operational Ontology of Agentic Action

Abstract

As agentic systems move from experimentation into regulated, high-stakes, and multi-agent environments, the core problem is no longer merely orchestration. It is governability. This paper introduces the Action Claim as the correct pre-execution governance object: a contestable, machine-evaluable proposal that a specific world-state transition should be permitted, structured across declared, derived, and delegation-supplied fields. We argue that governing agentic systems requires not just a protocol for transmitting such objects, but an operational ontology — a typed, reusable semantic framework that defines what exists in the domain of agent action, how effects compose, and how governance systems can evaluate them before execution.

Keywords

world-state transitions, delegation chains, action ontology, pre-execution authorization, agentic systems, EU AI Act, AI governance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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