Reverse-Engineering Human Cooperation

Explore a 57-minute lecture on reverse-engineering human cooperation presented by Max Kleiman-Weiner from the University of Washington at IPAM's Analyzing High-dimensional Traces of Intelligent Behavior Workshop. Delve into the unique power of human collaboration, examining how we accomplish tasks collectively, share benefits fairly, and maintain trust. Investigate the cognitive processes underlying social intelligence and their contribution to the scale of human cooperation. Discover a computational framework that integrates individually rational, hierarchical Bayesian models of learning with socially rational, game-theoretic models of cooperation. Examine how this framework explains the generalization of cooperative behavior, including intention and reputation inference, friend-foe distinction, and coordination with AI agents and humans. Gain insights into designing cooperative artificial intelligence capable of effective human interaction.