[AI Seminar] AI Seminar sponsored by Apple -- Ido Erev (Technion - Israel Institute of Technology) -- Feb 13

Adams Wei Yu weiyu at cs.cmu.edu
Mon Feb 12 06:58:25 EST 2018


A gentle reminder that the talk will be tomorrow (Tuesday) noon in *NSH
1507.*

On Sat, Feb 10, 2018 at 5:38 AM, Adams Wei Yu <weiyu at cs.cmu.edu> wrote:

> Dear faculty and students,
>
> We look forward to seeing you next Tuesday, Feb 13, at noon in *NSH 1507* for
> AI Seminar sponsored by Apple. To learn more about the seminar series,
> please visit the AI Seminar webpage <http://www.cs.cmu.edu/~aiseminar/>.
>
> On Tuesday, Ido Erev
> <https://web.iem.technion.ac.il/en/people/userprofile/erev.html> will
> give the following talk:
>
> Title: When and how can social scientists add value to data scientists? A
> choice prediction competition for human decision making
>
> Abstract:
>
> Behavioral decision research highlights interesting choice anomalies, and
> proposes elegant cognitive models that can explain these phenomena. Yet, it
> is often easier to predict behavior with theory-free machine learning tools
> than with the leading cognitive models. One reason for the difficulty in
> deriving general predictions using cognitive models is that different
> models are often proposed to explain different phenomena. It is then
> unclear which model to use to address a new task. The current talk reviews
> recent research and describes a new choice prediction competition project (
> https://cpc18.wordpress.com) that tries to address this problem.
>
> Based on research with Ori Plonsky, Reut Apel, Eyal Ert and Moshe
> Tennenholtz.
>
>
> Bio:
>
> Ido Erev is the President Elect of the European Association for Decision
> Making, Professor of Behavioral Science at the Technion, and Research
> Environment Professor in Warwick Business School. His work focuses on the
> impact of economics incentives on choice behavior. It suggests that the
> initial reaction to a description of the incentive structure reflects
> overweighting of rare events, but experience reverses this bias.
>
>
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