IENG 420/520 Game Theory Applications

Credits: (3-0) 3

A rational agent or player maximizes their own payoff, an assumption on which several artificial and human intelligence systems are designed. Students of this class will learn to model gaming scenarios by applying theoretical concepts in coalitional game theory and competitive games to large data sets with the intent to develop decision support tools to understand how rational players would act in presence of competitive and collaborative agents. These scenarios will be used to study actions of players or decision centers in infrastructure security, transportation, autonomous systems, and competition among technical organizations.

Prerequisites: IENG 381/MATH 381
Notes: Students enrolled in IENG 520 will be held to a higher standard than those enrolled in IENG 420.

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