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Other ORP type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2026
License: CC BY
Data sources: Datacite
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Operational Criteria for Internal Intention in AI Systems — Mathematical Formalization

Choice function, persistence measure, and constraint violation metric with C–V–Z triad integration
appsOther research productkeyboard_double_arrow_right Other ORP type 02 Apr 2026 English Publisher:Zenodo
Authors: Bankuti, Omri;

doi: 10.5281/zenodo.19376962 , 10.5281/zenodo.19374568

Operational Criteria for Internal Intention in AI Systems — Mathematical Formalization

Abstract

Mathematical formalization of the three core components of the internal intention framework (DOI: 10.5281/zenodo.19374569): choice function, persistence measure, and constraint violation metric. Includes explicit C–V–Z triad integration.

Keywords

bias, deceptive alignment, intent detection, internal intention, mesa-optimizer, AI systems, decision criteria, autonomy, identifiability, falsifiability, prompt override

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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