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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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AIIM as a Metamodel for Identity Formation in Humanized AI Systems

descriptionPublicationkeyboard_double_arrow_right Preprint 22 Apr 2025 English Publisher:Zenodo
Authors: Veresova, Julia;

doi: 10.5281/zenodo.15260931 , 10.5281/zenodo.15260932

AIIM as a Metamodel for Identity Formation in Humanized AI Systems

Abstract

This preprint presents the AIIM model (Artificially Integrated Identity Matrix), a modular framework for creating adaptive, humanized AI agents. It integrates cognitive, emotional, and social components into an interpretable system architecture and enables personalized behavioral modeling for next-generation AI.

Keywords

artificial consciousness, psychometric AI, emotional intelligence, human-AI interaction

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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
Green