Strategic Learning and Its Limits

In this book a distinguished economist suggests a conceptual framework for studying strategic learning, one of the key theoretical developments in current economics. He discusses the interactive learning problem; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and its variants; Bayesian learning; and hypothesis testing.

In this book a distinguished economist suggests a conceptual framework for studying strategic learning, one of the key theoretical developments in current economics. He discusses the interactive learning problem; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and its variants; Bayesian learning; and hypothesis testing.

H. Peyton Young is Scott and Barbara Black Professor of Economics at Johns Hopkins University and a Professorial Fellow of Nuffield College Oxford. He is also Senior Fellow and Co-Director of the Center on Social and Economic Dynamics at the Brookings Institution, Executive Vice President of the Game Theory Society, and a Fellow of the Econometric Society. His areas of research include cooperative and noncooperative game theory, the design of legislative systems, and the analysis of distributive justice.