STANFORDCS 224M
Multi Agent Systems
Approximate Syllabus

DateContentReadingsHandoutsDue

(Hard-copy by end of class unless noted otherwise) 

Distributed Problem Solving
09/22 Distributed CSPsCh 1
09/24 Markets and OptimizationCh 2.1, 2.3HW1
09/29 Social Laws and ConventionsCh 2.4
Competition and Coordination: Game Theory in Five Easy Pieces
10/01 Games in normal formCh 3
10/06 Games in extensive form:
- Games of perfect information
- Games of imperfect information
Ch 5
10/08 Repeated and stochastic gamesCh 6.1, 6.2HW2HW1
10/13 Bayesian gamesCh 6.3
10/15 Coalitional game theoryCh 12.1, 12.2
Multi-Agent Learning
10/20 Learning in Repeated Games:
- Fictitious play
- Rational Learning
Ch 7.1, 7.2, 7.3
10/22 Learning in Stochastic Games:
- Reinforcement Learning
Ch 7.4HW3HW2
10/27 Population Models of Learning:
- Replicator dynamics
- Evolutionarily stable strategies
Ch 7.7
Protocols for Agents
10/29 Social choiceCh 9
11/03 Mechanism designCh 10.1, 10.2, 10.3, 10.4
11/05 AuctionsCh 11.1
11/10 Combinatorial auctionsCh 11.3HW3
Knowledge and Belief
11/12 Rationality & Logic: A brief glimpseCh 13.1, 13.2, 13.3Submit proposal for final paper 

via email to the staff list by midnight

Midterm Hiatus
11/17 MIDTERM: Open book; including materials through 11/10
Time and location: TBA
Review session during class time
Final paper topic must be finalized by this point.
Communication
11/19 Signaling and cheap talkCh 8.1, 8.2
11/24 Thanksgiving break
11/26
12/01 Speech-act theoryCh 8.3
12/03 A sample of cutting-edge research in multi-agent systemsFinal Paper (hard-copy)
(Classes over)

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