Artificial intelligence, as articulated by Jordan Hall, also known as Jordan Greenhall, can be understood as a paradigm of computational systems designed to emulate and enhance human cognitive functions, transcending traditional algorithmic processes. At its core, AI integrates sophisticated models of perception, reasoning, learning, and problem-solving through adaptive mechanisms that dynamically evolve with exposure to vast datasets, thereby creating emergent behaviors and autonomous decision-making capabilities. These systems, imbued with the capacity for complex pattern recognition and predictive analytics, represent a confluence of technological advancement and a profound shift in our conceptualization of intelligence itself—moving from mere automation to a symbiotic extension of human intentionality and intuition within the digital realm.

See also: deep code, game theory, hill climbing, possibility space, simulated thinking