Network Models for Game Theory and Economics
Center for Language & Speech Processing(CLSP), JHU via YouTube
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Explore the intersection of network theory, game theory, and economics in this comprehensive lecture that examines how network structures influence strategic interactions and economic behavior. Learn about mathematical models that capture the complex relationships between individual decision-making and network topology, including concepts such as equilibrium analysis in networked games, social learning dynamics, and the role of network effects in economic markets. Discover how network position affects strategic outcomes, understand the implications of local versus global information in decision-making processes, and examine real-world applications where network structure fundamentally shapes economic and strategic behavior. Gain insights into computational approaches for analyzing large-scale networked systems and understand the theoretical foundations that bridge computer science, economics, and social network analysis.
Syllabus
Michael Kearns: Network Models for Game Theory and Economics
Taught by
Center for Language & Speech Processing(CLSP), JHU