Understanding Human Intelligence Through Human Limitations

Explore a thought-provoking lecture from Princeton University's Tom Griffiths at IPAM's Naturalistic Approaches to Artificial Intelligence Workshop that examines human intelligence through the lens of our inherent limitations. Delve into three fundamental computational challenges humans face: optimizing finite cognitive resources, learning from limited data, and solving problems that exceed individual capabilities. Discover how these constraints shape human intelligence and may inform our understanding of intelligence in an era of advancing artificial systems. Through this 55-minute presentation, gain insights into recent research findings on how human minds navigate these computational challenges and what this reveals about the distinctive characteristics of human cognition. Particularly relevant for those interested in cognitive science, artificial intelligence, and the intersection of human and machine intelligence.