Game Theory and Multiagent Systems
(3-0-0-3)
CMPE Degree: This course is for the CMPE degree.
EE Degree: This course is for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Systems and Controls
Course Coordinator:
Prerequisites: (ECE 2040 [min C] or ECE 3710 or ISYE 3133) and (CEE/ISYE 3770 or MATH 3670 or ISYE 2027)
Catalog Description
An introduction to game theory and its application to multiagent systems, including distributed routing, multivehicle control, and networked systems.Textbook(s)
An Introduction to Game TheoryCourse Outcomes
- understand the notion of an agent.
- discuss the key issues associated with constructing agents, building and implementing models.
- understand the types of game theoretic interactions possible in multiagent systems.
- be familiar with the main engineering application areas of multiagent systems.
- most importantly, be able to design meaningful agent-based systems.
Strategic Performance Indicators (SPIs)
Not Applicable
Topical Outline
Game theory:
- Pure strategy Nash equilibrium
- Rationalizability and dominance
- Probability review
- Expected utility
- Mixed strategy Nash equilibrium
- Zero sum games
- Bayesian games & imperfect information
- Extensive form games
- Repeated games
- Bargaining
Multagent systems:
- Coordination games
- Markov chains
- Distributed optimization
- Strategic learning