
This sixth volume of The Foundations of Behavioral Economic Analysis covers behavioral models of learning. It is an essential guide for advanced undergraduate and postgraduate students seeking a concise and focused text on this important subject, and examines evolutionary game theory, models of learning, and stochastic social dynamics. This updated extract from Dhami's leading textbook allows the reader to pursue subsections of this vast and rapidly growing field and to tailor their reading to their specific interests in behavioral economics.
This volume investigates the mechanisms of human learning within economic contexts, specifically focusing on how individuals update beliefs and strategies over time. Sanjit Dhami, a professor of economics, synthesizes complex mathematical models and empirical findings to provide a rigorous framework for understanding behavioral learning processes. The text serves as a specialized extraction from his broader work, designed to offer a focused analysis of how agents adapt in environments characterized by uncertainty and strategic interaction.
What You Will Find
Scope Limits
Experts recognize this text as a highly technical resource suitable for advanced students and researchers in the field of behavioral economics. Readers frequently note the academic density of the prose and the necessity of a strong mathematical background to fully engage with the presented models.
Page Count:
304
Publication Date:
2019-01-01
Publisher:
OUP Oxford
ISBN-10:
0192595164
ISBN-13:
9780192595164
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