Comparing Human and Artificial Intelligence: Functions, Computations, and Architectures

Explore a thought-provoking conference talk delivered at Chapman University's "Theorizing and Modeling in Neuroscience" conference, where Stanford University's James L. McClelland delves into the comparative analysis of human and artificial intelligence through the lens of functions, computations, and architectures. Learn about the fundamental differences and similarities between human cognition and AI systems in this comprehensive presentation, which was part of a broader interdisciplinary conference organized by the Schmid College of Science and Technology, the D.Sc. Program in Mathematics, Philosophy, and Physics, the Crean College of Health and Behavioral Sciences, and the Institute for Interdisciplinary Brain and Behavioral Sciences. Gain insights from this 98-minute exploration of cognitive science and artificial intelligence, presented by one of Stanford's leading researchers in the field.