Article
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A Carrier Manifolds Framework for AGI
Version 1
: Received: 16 May 2024 / Approved: 17 May 2024 / Online: 17 May 2024 (11:36:53 CEST)
How to cite: Ge, X. A Carrier Manifolds Framework for AGI. Preprints 2024, 2024051164. https://doi.org/10.20944/preprints202405.1164.v1 Ge, X. A Carrier Manifolds Framework for AGI. Preprints 2024, 2024051164. https://doi.org/10.20944/preprints202405.1164.v1
Abstract
This paper integrates carrier manifolds from control theory and hybrid systems modeling to develop a novel mathematical framework for Artificial General Intelligence (AGI). Carrier manifolds represent the state space of complex AGI systems, while hybrid systems model discrete and continuous dynamics together. The proposed architecture embeds carrier manifold into GPTProX, a hybrid AI solver combining conversational AI, logic programming, and optimization.
Keywords
Artificial General Intelligence; hybrid systems; logic programming; Large Language Models (LLM)
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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