Colloquium Details

From Game Theory to Game Engineering

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.


In-person attendance only available to those with active NYU ID cards.

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