In this paper, the authors reexamine the data from B. O'Neill's (1987) experiment involving a repeated, two-person, constant-sum game. They find that there is less evidence in support of the minimax hypothesis than indicated by O'Neill. There is strong evidence of serial correlation in players' choices, with several players displaying statistically significant dependence on the past moves of their opponents. The authors interpret this finding as evidence that the plays themselves rejected minimax play as the appropriate model for their opponents' behavior. They find no evidence that players' behavior approached minimax behavior as players became more experienced. Copyright 1990 by The Econometric Society.
We examine whether the predictions of minimax in zero-sum games holds under highly incentivized cond...
We conduct experiments with adolescent participants on repeated fixed play in three different zero-s...
This article provides evidence for mixed strategy play in a natural setting, using data from penalty...
JEL No. D01,D82 Game theory makes strong predictions about how individuals should behave in two play...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
The implications of the Minimax theorem are tested using natural data. The tests use a unique data s...
Game theory makes strong predictions about how individuals should behave in two player, zero sum gam...
We study how professional players and college students play zero-sum two-person strategic games in a...
We study how professional players and college students play zero-sum two-person strategic games in a...
We study how professional players and college students play zero-sum two-person strategic games in a...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
Does expertise in strategic behavior obtained in the field transfer to the abstract setting of the l...
Abstract: This article presents the results of an empirical experiment designed to gain insight into...
AbstractDeeper searches in game-playing programs relying on the minimax principle generally produce ...
We study how professional players and college students play zero-sum two-person strategic games in a...
We examine whether the predictions of minimax in zero-sum games holds under highly incentivized cond...
We conduct experiments with adolescent participants on repeated fixed play in three different zero-s...
This article provides evidence for mixed strategy play in a natural setting, using data from penalty...
JEL No. D01,D82 Game theory makes strong predictions about how individuals should behave in two play...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
The implications of the Minimax theorem are tested using natural data. The tests use a unique data s...
Game theory makes strong predictions about how individuals should behave in two player, zero sum gam...
We study how professional players and college students play zero-sum two-person strategic games in a...
We study how professional players and college students play zero-sum two-person strategic games in a...
We study how professional players and college students play zero-sum two-person strategic games in a...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
Does expertise in strategic behavior obtained in the field transfer to the abstract setting of the l...
Abstract: This article presents the results of an empirical experiment designed to gain insight into...
AbstractDeeper searches in game-playing programs relying on the minimax principle generally produce ...
We study how professional players and college students play zero-sum two-person strategic games in a...
We examine whether the predictions of minimax in zero-sum games holds under highly incentivized cond...
We conduct experiments with adolescent participants on repeated fixed play in three different zero-s...
This article provides evidence for mixed strategy play in a natural setting, using data from penalty...