Figure: Table IX showing [Poisson CH prediction and empirical frequency for betting game [Sovik 2000]]
Caption: TABLE IX POISSON CH PREDICTION AND EMPIRICAL FREQUENCY FOR BETTING GAME [SOVIK 2000]
Figure text: State of the world A B C D Pla…[^]: This research was supported by NSF grants SES-0078911 and SES-0078853. Thanks to C. Mónica Capra, Haitao Cui, Paul Glimcher, and Roger Myerson. Sara Robinson was a helpful wordsmith. Former math nerd Matthew Rabin directed our attentio…
Ido Erev
psychologist · 2 mentions across 1 reading
In this course
Ido Erev is an experimental economist known for work on learning and decision-making under uncertainty, particularly in behavioral game theory and risk-taking contexts. He appears in the course readings primarily through empirical data on betting behavior and prediction models (notably the Poisson CH prediction framework), which ground discussions of how agents actually make choices rather than how rational choice theory says they should. His experimental findings on human gambling and learning dynamics are cited to anchor debates about bounded rationality and the gap between idealized computational models and observed behavior in artificial and natural systems.
Mentioned in 1 reading
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