ESE 670:
Research Topics in EE/CE (Fall)
(Graduate course)
Instructor: Dr. A. Doboli
Credits: 3 credits
Description: The course is a research-level graduate
course on decentralized, distributed decision making for networks of computing
systems (agents). The discussed decision making methods include constraint
satisfaction, optimization and game-theoretic approaches. Such methods are
important in applications in which centralized control and decision making is
not feasible, performance efficient or reliable, and hence decentralized techniques
must be used. Decentralized, distributed decision making is important for many modern
and emerging applications, including networked embedded sensing systems (sensor
networks), adaptive computer networks, intelligent computing systems, and various
other applications from social and economic domains.
Textbook: no textbook is required. Research
papers will be provided in class.
Reference: Y. Shoham,
K. Leyton-Brown, “Multiagent
Systems. Algorithmic, Game-Theoretic and Logical Foundations”,
Cambridge University Press, 2009.
Discussed
Topics:
1.
Distributed
Constraint Satisfaction
2.
Distributed
optimization
3.
Noncooperative game theory. Games in normal form.
4.
Computing
solution concepts of normal-form games
5.
Games
with sequential actions
6.
Repeated
games, stochastic games, Bayesian games, congestion games.
7.
Protocols
for strategic agents
8.
Protocols
for multiagent resource allocation
9.
Teams
of selfish agents. Coalitional games.
10. Logics of knowledge and belief.
Course work: 2 reports + 1 presentation
Grading: 35% first report + 35% second
report + 30% presentation