The course provides an introduction to concepts, models and algorithms for autonomous agents and multi-agent systems. Game theory is the key formalism used in multi-agent systems that describes and defines optimal behavior of an agent while explicitly reasoning about plans and goals of other agents. In the course, we will explains key multiagent models and algorithms, both for cooperative and non-cooperative 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 multiagent formal models and apply algorithmic techniques to solve them.

- Lectures:
- Tuesday 9:15-10:45, 20.9.2022–10.1.2023, KN:E-301

- Tutorials:
- Tuesday 11:00-12:30, 14:30-16:00, 20.9.2022 – 10.1.2023, KN:E-307
- Tutors: Ondřej Kubíček,Tomáš Votroubek

**Main contacts:**- Regarding lectures/tutorials/course: branislav.bosansky@agents.fel.cvut.cz
- Regarding homework assignments: tomas.votroubek@fel.cvut.cz

**Use recommended books for studying! Consider slides to be an outline of the topics we cover, they do not contain all the details.**

**Both** the course assessment **and** exam are required to pass the course. The final grade (A..F) will be determined by the sum of points obtained from the assessment and exam (<50 = F, 50-59 pts = E, …, 90-100 pts = A).

**Minimum of 25 pts** is required from the labs

- Game theory: max grading: 14 pts.
- Coalitional game theory: max grading: 12 pts.
- Midterm Test: max grading 24 pts.

The penalty for submitting the homework assignment after the deadline, but no later than 24 hours after the deadline, is 20% of the points.

The penalty for submitting the homework assignment later than 24 hours after the deadline is 100% of the points.

**Minimum of 25 pts** is required from the exam (out of maximum 50 pts).

- The exam is written. In selected cases, a brief oral part to clarify answers follows.
- The form of exam/requirements can change depending on the current COVID restrictions.
- Exam topics correspond to the topics covered by lecture slides
- Course assessment is required prior to attending an exam

**Dates**:

- 10.1.2023 9:15 – 12:00
- TBA
- TBA

Exam from the last years: example

(subject to change)

**For accessing the videos, please, log-in using your Google FEL account.**

Date | Topic | Lecturer | Resources | Old Resources |
---|---|---|---|---|

20 Sept | Introduction to the course | Bošanský | lecture_1_2022.pdf | video_2020 lecture_1_2021.pdf |

27 Sept | Normal-Form Games | Bošanský | lecture_2_2022.pdf | video_2020 lecture_2_2021.pdf |

04 Oct | Solving Normal-form Games | Bošanský | lecture_3_2022.pdf | video_2020 lecture_3_2021.pdf |

11 Oct | Games in Extensive Form | Bošanský | lecture_4_2022.pdf | video_2020 lecture_4_2021.pdf |

18 Oct | Solving Extensive-Form Games | Bošanský | lecture_5_2022.pdf | video_2020 lecture_5_2021.pdf |

25 Oct | Other Game Representations | Bošanský | lecture_6_2022.pdf | video_2020 lecture_6_2020.pdf |

1 Nov | Bayesian games. Introduction to Auctions. | Jakob | Bayesian Games 2022 | |

08 Nov | Auctions 1 | Jakob | Auctions 1 2022 Draft | video_2020 slides |

15 Nov | Auctions 2 | Jakob | Auctions 2 2022 Draft | video_2020 slides |

22 Nov | Coalitional Games. The Core | Kroupa | cg01_lectures.pdf | video_2020 |

29 Nov | The Shapley value | Kroupa | cg02_lectures.pdf | video_2020 |

6 Dec | The Nucleolus | Kroupa | video_2020 | |

13 Dec | Voting and Social Choice | Kroupa | ||

10 Jan | First Exam Date |

Date | Topic | Lecturer | Resources |
---|---|---|---|

20 Sept | Introduction to the course | Bošanský & Kubíček | slides exercises |

27 Sept | Normal-Form Games | Kubíček | exercises |

04 Oct | Solving Normal-form Games | Kubíček | exercises |

11 Oct | Games in Extensive Form | Kubíček | exercises |

18 Oct | Solving Extensive-Form Games | Kubíček | exercises |

25 Oct | Other Game Representations | Kubíček | |

1 Nov | Midterm Test | Kubíček | |

08 Nov | Auctions 1 | Votroubek | exercises |

15 Nov | Auctions 2 | Votroubek | exercises |

22 Nov | Coalitional Games. The Core | Votroubek | Exercises for the last 4 tutorials |

29 Nov | The Shapley value | Kroupa | |

6 Dec | The Nucleolus | Votroubek | |

13 Dec | Voting and Social Choice | Votroubek | |

10 Jan | First Exam Date |

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

- relevant chapters available on-request from Michal Jakob

- [AIMA] Russel, S. a Norvig, P.: Artificial Intelligence: A Modern Approach (2nd edition), Prentice Hall, 2003
- relevant chapters available by e-mail request from Michal Jakob

- [Wooldridge] Wooldridge, M.: An Introduction to MultiAgent Systems, John Wiley & Sons Ltd, 2002, ISBN 0-471-49691-X.
- relevant chapters available by e-mail request from Michal Jakob

For running IntelliJ Idea on local machines use command `/opt/idea-IC-173.4548.28/bin/idea.sh`

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courses/cgt/start.txt · Last modified: 2022/11/27 10:33 by kroupto1