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Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games

By: Ido Erev, Alvin E. Roth, R. Slonim and Greg Barron
  • Format:Print
  • | Pages:23
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Keywords

Learning; Forecasting and Prediction; Outcome or Result

Citation

Erev, Ido, Alvin E. Roth, R. Slonim, and Greg Barron. "Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games." Special Issue on Behavioral Game Theory. Economic Theory 33, no. 1 (October 2007): 29–51.

About The Author

Alvin E. Roth

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