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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Multi-agent Systems

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Code Completion Credits Range Language
B4M36MAS Z,ZK 6 2P+2C Czech
The course cannot be taken simultaneously with:
Multiagent Systems (BE4M36MAS)
Lecturer:
Branislav Bošanský, Michal Pěchouček (guarantor), Michal Jakob, Tomáš Kroupa
Tutor:
Branislav Bošanský, Michal Pěchouček (guarantor), Jiří Čermák, Jose Ananias Hilario Reyes, Karel Horák, Michal Jakob, Tomáš Kroupa, Dominik Andreas Seitz, Michal Šustr, Petr Tomášek
Supervisor:
Department of Computer Science
Synopsis:

The course provides an introduction to concepts, models, and algorithms for autonomous agents and multi-agent systems. The first part of the course introduces single-agent models and control architectures; the second part explains key multi-agent models and algorithms, both for cooperative and non-cooperative multi-agent settings. Upon successful completion of the course, students will be able to understand main multi-agent concepts, be able to map real-world multi-agent problems to multi-agent formal models and apply algorithmic techniques to solve them.

Requirements:
Syllabus of lectures:

1. Introduction to multi-agent systems

2. Reactive Agents

3. Belief-Desire-Intention (BDI) architecture

4. Introduction to Game Theory

5. Solving Normal-Form Games

6. Games in Extensive Form

7. Solving Extensive-Form Games

8. Cooperative Game Theory

9. Distributed constraint reasoning 1 (DCSP)

10. Distributed constraint reasoning 2 (DCOP)

11. Social Choice, Voting

12. Resource allocation and Auctions

13. Mechanism Design

14. Wrap-up

Syllabus of tutorials:

1. Agent architectures

2. Belief-Desire-Intention, Jason

3. Jason

4. Introduction to Game Theory

5. Solving Normal-Form Games

6. Extensive-Form Games

7. Solving Extensive-Form Games

8. Cooperative Game Theory

9. Distributed constraint satisfaction (DCSP)

10. Distributed constraint optimization (DCOP)

11. Social Choice, Voting

12. Introduction to Auctions

13. Auctions, Mechanism Design

14. Wrap-up

Study Objective:
Study materials:

Shoham, Y. and Leyton-Brown, K.: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press, 2008, ISBN 9780521899437.

Weiss, G. (eds): Multiagent Systems, second edition, MIT Press, 2013

Vidal, J. M.: Fundamentals of Multiagent Systems with NetLogo Examples, 2009

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/be4m36mas/start
Time-table for winter semester 2019/2020:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
roomKN:E-301

09:15–10:45
(lecture parallel1)
Karlovo nám.
Šrámkova posluchárna K9
roomKN:E-307

11:00–12:30
(lecture parallel1
parallel nr.101)

Karlovo nám.
HW-lab K307
roomKN:E-307

14:30–16:00
(lecture parallel1
parallel nr.102)

Karlovo nám.
HW-lab K307
roomKN:E-307

16:15–17:45
(lecture parallel1
parallel nr.103)

Karlovo nám.
HW-lab K307
roomKN:E-307

18:00–19:30
(lecture parallel1
parallel nr.104)

Karlovo nám.
HW-lab K307
Fri
Thu
Fri
Time-table for summer semester 2019/2020:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-10-15
For updated information see http://bilakniha.cvut.cz/en/predmet4701406.html