Game Theory and Networked Systems

1 Unit · Graduate

The strategic interactions among multiple agents is a fundamental feature of many networked systems. Examples include peering agreements among Internet Service Providers, licensing agreements for wireless spectrum, designing the right incentives for crowdsourcing platforms, competition among producers of electricity, engaging robotic groups to cooperate. Game theory is a basic tool for understanding such interactions. This course gives an interdisciplinary introduction to the fundamentals of game theory and it applications to such networked systems. Linear Algebra (e.g. Math 240 or GenEng 205-1), Probability (e.g. ELEC_ENG 302, IEMS 302), basic optimization and mathematical maturity.