Speaker: David Wolpert, Stanford University & NASA
Location: Warren Weaver Hall 201
Date: November 16, 2009, 2 p.m.
Host: Rich Bonneau
In this talk I present recent work on combining game theory, statistics, and control theory. This combination provides new techniques for predicting / controlling any system comprising humans, human groups (e.g., firms, tribes), and / or adaptive automated systems (e.g., reinforcement learning robots).
As illustrations, I will focus on three projects:
1) Suppressing flutter in an airplane wing by controlling a set of autonomous micro-flaps at its trailing edge.
2) First raising taxes in a human economy, and then lowering them back to the starting values, to steer the economy to a Pareto superior equilibrium.
3) Designing a dynamic auction of arrival slots at a weather-impacted airport, to maximize social welfare.
Refreshments will be offered starting 15 minutes prior to the scheduled start of the talk.