BEC Seminar Series
Massachusetts Institute of Technology
""Reverse Engineering Human Cooperation""
Human cooperation is distinctly powerful. We collaborate with others to accomplish together what none of us could do on our own; we share the benefits of collaboration fairly and trust others to do the same. I seek to understand these everyday feats of social intelligence in computational terms. I will present a formal framework based on the integration of individually rational, hierarchical Bayesian models of learning, together with socially rational multi-agent and game-theoretic models of cooperation. First, I investigate the evolutionary origins of the cognitive structures that enable cooperation through social learning. I then describe how these structures are used to learn social and moral knowledge rapidly during development. Finally I show how this knowledge is generalized in the moment, across an infinitude of possible situations: inferring the intentions and reputations of others, distinguishing who is friend or foe, and learning a new moral value.
Lunch provided on a first-come, first-serve basis. We request a $6 donation.
host: Center for Behavior, Evolution, and Culture