A New Epistemology of Intelligence: Rethinking Knowledge Through Noesiology

The evolving landscape of intelligence research necessitates a paradigm shift beyond conventional epistemological frameworks. Traditional cognitive models, rooted in reductionist perspectives, have struggled to encapsulate the complexity of intelligence, consciousness, and knowledge production in an increasingly interconnected world. This paper introduces noesiology, a transdisciplinary epistemological framework that integrates insights from cognitive science, artificial intelligence (AI), philosophy, neuroscience, and complexity theory to redefine intelligence as a multi-layered, dynamic, and emergent phenomenon.Noesiology, derived from the Greek noein (νοεῖν), meaning "to perceive by the intellect," and logos (λόγος), meaning "study" or "discourse," provides a novel perspective on knowledge by emphasizing embodiment, collective intelligence, transdisciplinary integration, and systems thinking. It critically evaluates the limitations of traditional epistemologies, including Cartesian dualism, Kantian transcendental idealism, and cognitive reductionism, arguing that intelligence is best understood as an emergent and systemic phenomenon that transcends anthropocentric biases.This study highlights the interconnections between natural, artificial, and collective intelligence, advocating for an epistemological framework that integrates ecological intelligence, indigenous knowledge systems, and the ethical implications of AI. Through a comprehensive literature review and empirical case studies, this paper demonstrates the applicability of Noesiology in education, AI development, social sciences, and ecological sustainability. It ultimately proposes a new model of intelligence—one that reflects the complexity, interconnectivity, and dynamic nature of knowledge production in the 21st century.The research concludes by discussing the practical implications of Noesiology for rethinking pedagogy, fostering ethical AI development, enhancing collective intelligence in governance, and promoting ecological sustainability. By advancing a transdisciplinary epistemology, this paper contributes to the ongoing discourse on intelligence, emphasizing the need for a holistic, integrative, and future-oriented approach to knowledge and cognition.