Multiagent Systems (BE4M36MAS) Winter 2020/2021

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, more extensive part explains key multiagent models and algorithms, both for cooperative and non-cooperative multiagent 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.

• All teaching and tutorials will be held online using Google Meet (sign-in using FEL Google Account)
• Lectures:
  • Tuesday 9:15-10:45 https://meet.google.com/yjv-ftdf-hzo, 22.9.2020–5.1.2021
  • Lecturers: Michal Pěchouček, Branislav Bošanský, Michal Jakob, Tomáš Kroupa
• Tutorials:
  • Tuesday 11:00-12:30, 14:30-16:00 https://meet.google.com/hjo-ryiy-sfg, 22.9.2020 – 5.1.2021
  • Tutors:Dominik Andreas Seitz,Michal Šustr,David Fiedler,Aditya Aradhye
• Main contacts:
  • Regarding lectures/course: branislav.bosansky@agents.fel.cvut.cz
  • Regarding tutorials: dominik.seitz@aic.fel.cvut.cz (main contact, EN only), michal.sustr@aic.fel.cvut.cz (backup contact)
• Use recommended books for studying! Slides do not contain all the details.

• Forum
• Upload System
• On line quizzes

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 20 pts is required from three course miniprojects (out of maximum 40 pts)

• Agent programming: max grading: 14 pts.
• Game theory: max grading: 14 pts.
• Coalitional game theory: max grading: 12 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 30 pts is required from the exam (out of maximum 60 pts).

• The exam comprises a written part accompanied with a brief oral part. The exam will be written, the discussion about the results of the exam will be via online video-call on on-demand basis.
• The capacity of one exam slot is limited to 9 students due to COVID, all exams will take part in the lecture hall KN-E301.
• All health-related measures apply:
  • Safe distance between the students has to be kept during the exam,
  • you can not attend the exam if you are sick, in quarantine, or experiencing acute COVID symptoms,
  • using face-masks and hand sanitizer is mandatory,
  • disinfectants will be also used in the room during the 15 min slot between the exam slots.
• Exam topics correspond to the topics covered by lecture slides
• Course assessment is required prior to attending an exam

Dates:

• 12.1.2021 (Tue)
  • 9:45 - 11:15
  • 11:30 - 13:00
• 21.1.2021 (Thu)
  • 9:45 - 11:15
  • 11:30 - 13:00
• 2.2.2021 (Tue)
  • 9:45 - 11:15
  • 11:30 - 13:00

Exam from the last years: PDF

(subject to permutation)

• [Shoham] Shoham, Y. and Leyton-Brown, K.: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press, 2008, ISBN 9780521899437.
  • available on-line
• [Weiss] Weiss, G. (eds): Multiagent Systems, second edition, MIT Press, 2013
  • 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

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