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

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Authors: Marie Seshat Landry
Cited by: 0

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.

Fields of Study & Subjects

Topic Modeling Natural Language Processing Techniques Psychiatry Mental Health Neuroscience

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026
Language
EN