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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
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Claim

THE LANDRY AGI MODEL: A DUAL- PROCESS ARCHITECTURE FOR GROUNDED ARTIFICIAL INTELLIGENCE

descriptionPublicationkeyboard_double_arrow_right Project proposal , Other literature type 18 Jan 2026 English Publisher:Zenodo
Authors: Landry, Marie Seshat;

doi: 10.5281/zenodo.19016360 , 10.5281/zenodo.18286561 , 10.5281/zenodo.18286560 , 10.5281/zenodo.19016096 , 10.5281/zenodo.19015997 , 10.5281/zenodo.19016156

THE LANDRY AGI MODEL: A DUAL- PROCESS ARCHITECTURE FOR GROUNDED ARTIFICIAL INTELLIGENCE

Abstract

This paper formalizes the Landry AGI Model, a theoretical framework that addresses the hallucination problem in Large Language Models (LLMs) through the architectural separation of deterministic fact processing from probabilistic narrative generation.

Keywords

Artificial intelligence, Artificial Intelligence/history, Artificial Intelligence/statistics & numerical data, Artificial Intelligence, Artificial Intelligence/economics, Artificial Intelligence/ethics, Artificial Intelligence/classification, Artificial Intelligence/supply & distribution, Artificial Intelligence/standards, Artificial Intelligence/trends, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/supply & distribution

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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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