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Experientia Docet: Professionals Play Minimax in Laboratory Experiments
Author(s) -
PalaciosHuerta Ignacio,
Volij Oscar
Publication year - 2008
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.1111/j.0012-9682.2008.00818.x
Subject(s) - intuition , psychology , minimax , perspective (graphical) , fictitious play , similarity (geometry) , cognition , animal behavior , game theory , cognitive psychology , social psychology , mathematical economics , mathematics education , computer science , mathematics , artificial intelligence , cognitive science , zoology , neuroscience , image (mathematics) , biology
We study how professional players and college students play zero‐sum two‐person strategic games in a laboratory setting. We first ask professionals to play a 2 × 2 game that is formally identical to a strategic interaction situation that they face in their natural environment. Consistent with their behavior in the field, they play very close to the equilibrium of the game. In particular, (i) they equate their strategies' payoffs to the equilibrium ones and (ii) they generate sequences of choices that are serially independent. In sharp contrast, however, we find that college students play the game far from the equilibrium predictions. We then study the behavior of professional players and college students in the classic O'Neill 4 × 4 zero‐sum game, a game that none of the subjects has encountered previously, and find the same differences in the behavior of these two pools of subjects. The transfer of skills and experience from the familiar field to the unfamiliar laboratory observed for professional players is relevant to evaluate the circumstances under which behavior in a laboratory setting may be a reliable indicator of behavior in a naturally occurring setting. From a cognitive perspective, it is useful for research on recognition processes, intuition, and similarity as a basis for inductive reasoning.