Announcements

Invited Speakers

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    Avrim Blum

    Professor of Computer Science
    School of Computer Science
    Carnegie Mellon University
    http://www.cs.cmu.edu/~avrim/

    Abstract. TBA

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    Cynthia Dwork

    Gordon McKay Professor of Computer Science
    Harvard Paulson School of Engineering
    Harvard University
    https://www.seas.harvard.edu/directory/dwork

    Abstract. TBA

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    Mitsuru Igami

    Associate Professor of Economics
    Department of Economics
    Yale University
    https://sites.google.com/view/igami

    Title. Artificial Intelligence as Structural Estimation: Economic Interpretations of Deep Blue, Bonanza, and AlphaGo

    Abstract. Artificial intelligence (AI) has achieved superhuman performance in a growing number of tasks, including the classical games of chess, shogi, and Go, but understanding and explaining AI remain challenging. This paper studies the machine-learning algorithms for developing the game AIs, and provides their structural interpretations. Specifically, chess-playing Deep Blue is a calibrated value function, whereas shogi-playing Bonanza represents an estimated value function via Rust's (1987) nested fixed-point method. AlphaGo's "supervised-learning policy network" is a deep neural network (DNN) version of Hotz and Miller's (1993) conditional choice probability estimates; its "reinforcement-learning value network" is equivalent to Hotz, Miller, Sanders, and Smith's (1994) simulation method for estimating the value function. Their performances suggest DNNs are a useful functional form when the state space is large and data are sparse. Explicitly incorporating strategic interactions and unobserved heterogeneity in the data-generating process would further improve AIs' explicability.

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    Elie Tamer

    Professor of Economics
    Department of Economics
    Harvard University
    https://scholar.harvard.edu/tamer/home

    Abstract. TBA

Program

TBA.

Organizers

Yaron Singer

Computer Science, Harvard University

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Vasilis Syrgkanis

Microsoft Research, New England

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