The graphs enable us to answer an important question visually: when the Nash predictions are good approximations, is Poisson-CH almost as accurate? The answer appears to be yes, because there are few points with low Nash deviations and high…Capra, C. Mónica, “Noisy Expectation Formation in One-shot Games,” PhD. thesis, 1999.
Chen, Yuxin, Ganesh Iyer, and Amit Pazgal, “Limited Memory and Market Competition,” Working Paper, University of California, Berkeley, 2003.
Chong, Kuan…
David Cooper
economist · 2 mentions across 1 reading
In this course
David Cooper appears in the course readings as a passing reference in a bibliography or methodological context, though the excerpts provided don't contain substantive discussion of his work. Without clear indication of his primary contributions from these fragments, it's difficult to establish how he specifically grounds arguments about AI, machine learning, or cybernetics in the seminar's intellectual framework. The readings seem to cite him in relation to experimental economics or game theory, but his precise role in the course's engagement with these topics remains unclear from the available material.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.
John Van Huyck 2Miguel Costa-Gomes 2Amit Pazgal 1Bruno Broseta 1C. Mónica Capra 1Colin F. Camerer 1Erik Eyster 1Ernst Fehr 1Ganesh Iyer 1Giovanna Devetag 1Jean-Robert Tyran 1Kuan Chong 1Massimo Warglien 1Matthew Rabin 1R. Zwick 1Russell W. Cooper 1Teck Ho 1Vincent Crawford 1Yuxin Chen 1Dale Stahl 1John Nash 1Robert Wilson 1