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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-14
DOI
https://doi.org/10.5281/zenodo.18286560
Primary Topic
Topic Modeling
Type
article
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article

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

Marie Seshat Landry
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

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

Marie Seshat Landry
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
International Society for Optics and Photonics (US)
Openalex Percentile: Top 85%
Topic Modeling
DOIOpen Access PDFOpenAlex
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THE LANDRY AGI MODEL: A DUAL- PROCESS ARCHITECTURE FOR GROUNDED ARTIFICIAL INTELLIGENCE — Marie Seshat Landry · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS