Evolution of Social Complexity: Reverse Engineering Human Cooperation
Max Kleiman-Weiner
- Postdoctoral Fellow, Massachusetts Institute of Technology
Max Kleiman-Weiner is a Harvard Data Science and CRCS Postdoctoral Fellow at Harvard & MIT. His interests span the study of intelligence (natural), intelligence (artificial), and intelligence (moral). His goal is to understand how the human mind works with enough precision that it can be implemented on a computer.
Human cooperation is distinctly powerful. When we collaborate with others to accomplish together what we could not do on our own, we share the benefits of collaboration fairly and trust others to do the same. Kleiman-Weiner seeks to understand these everyday feats of social intelligence in computational terms.
He will present a formal framework based on integrating individually rational, hierarchical Bayesian models of learning, together with socially rational multi-agent and game-theoretic models of cooperation.
Join via Zoom.
12:00 - 1:00 p.m.