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INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT


This paper analyzes the dynamics of learning to compete strategically in a Cournot duopoly. The learning
in games model used is logistic smooth fictitious play. I develop novel software that can be used to
confirm and visualize existing analytic results, to generate ideas for future analytic proofs, to analyze
games for which analytic solutions are difficult to derive, and to aid in the teaching of learning in games in
a graduate game theory, business strategy, or business economics course. One key result is that there is
an overconfidence premium: the worse off a player initially expects her opponent to be, the better off she
herself will eventually be.
NONE
INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT
Strategic Management
English
IJSM
2011
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