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

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Abstract

This article presents a groundbreaking exploration of Noesiology as a scientific discipline that unifies multiple forms of intelligence—human, artificial, and collective—into a coherent framework. Noesiology 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 Noesiology as a central field of study in cognitive science and beyond.

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