The entry and mixed-equilibrium games were run in four experimental sessions of twelve subjects each. Each game was played (with no feedback) against a random opponent in the same session and earnings accumulated. Two sessions used undergra…[^]: 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…
Fang-Fang Tang
economist · 2 mentions across 1 reading
In this course
Fang-Fang Tang appears as a co-researcher in experimental game theory studies examining mixed-strategy equilibrium behavior in human subjects, contributing to empirical work that grounds theoretical predictions about rational decision-making in controlled settings. The research, supported by NSF funding, ran laboratory sessions testing how players actually behave when facing randomized opponents—work relevant to the course's interest in how computational and game-theoretic models compare to real human cognition and choice. Tang's contribution is technical rather than theoretical: enabling the experimental infrastructure through which algorithmic assumptions about rationality get tested against human performance.
Mentioned in 1 reading
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