The Unification of Intelligence Across Systems: A Noesological Framework for Understanding Cognition, Technology, and Society

Manuscript submitted May 13, 2025; accepted June 18, 2025; published September 19, 2025

Abstract—This article presents a groundbreaking exploration of noesology as a scientific discipline that unifies multiple forms of intelligence—human, artificial, and collective—into a coherent framework. Noesology integrates concepts from cognitive science, artificial intelligence, evolutionary biology, and complex systems theory to understand how intelligence emerges and interacts across various systems. By drawing on theoretical insights and empirical evidence, this work introduces a novel model for studying intelligence across human, machine, and collective systems, which has profound implications for future research in artificial intelligence, human-machine collaboration, and social governance. Through the integration of interdisciplinary perspectives, the paper aims to lay the foundation for noesology as a central field of study in cognitive science and beyond..

keywords—noesology, multiple forms of intelligence, artificial intelligence, collective intelligence, cognitive science, human-machine collaboration

Cite: Pitshou Moleka,"The Unification of Intelligence Across Systems: A Noesological Framework for Understanding Cognition, Technology, and Society," Journal of Advances in Artificial Intelligence, vol. 3, no. 3, pp. 224-233, 2025. doi: 10.18178/JAAI.2025.3.3.224-233

Copyright © 2025 by the authors. 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 (CC BY 4.0).