AGI Research & Development

A key challenge in the development of artificial general intelligence (AGI) is modeling the breadth of human cognitive capabilities. While current narrow AI excels at specific singular tasks, actualizing AGI requires synthesizing interdisciplinary knowledge from several fields including biology, neuroscience, and mathematics. This is necessary to replicate core facets of human intelligence like memory, reasoning, and decision-making in a computable framework. Technical work is needed to codify the complex dynamics of biological neural systems and human psychology into rigorous mathematical representations and functional algorithms. Advancing AGI will rely on assimilating insights across the sciences into formalisms that can be technically implemented and empirically validated to achieve human-level artificial cognition.