Ensimag Rubrique Formation 2022

Multi-Agent systems - WMM9MO27

  • Number of hours

    • Lectures 18.0
    • Projects -
    • Tutorials -
    • Internship -
    • Laboratory works -
    • Written tests -


    ECTS 3.0


Understand the multi-agent paradigm, its history, the functioning of a MAS, the underlying research challenges, and the various application fields, with a focus on agent-based simulation.

Get an overview of methodologies for developing MAS, existing tools for implementing them, current applications and future prospects.


Carole ADAM


Introduction and history of MAS. Reactive agents, emergence. Cognitive agents, BDI logics. Interactions, languages, conversational agents. Organisation in MAS, synchronisation, planning, task allocation. Agent-based simulation. Tools and languages for implementing MAS and agent-based simulation (practical sessions with the GAMA platform). Applications of MAS, future prospects.




Oral presentation of research papers.
Agent-based simulation tutorial with the GAMA platform.

Final exam: course questions; modelling exercise; research paper analysis.

    • MCC en présentiel et distanciel **
      100% examen final / final exam
      (en amphi ou en ligne / exam will be either at uni or online)

The exam is given in english only FR


The course exists in the following branches:

  • Curriculum - Master in Computer Science - Semester 9 (this course is given in english only EN)
see the course schedule for 2022-2023

Additional Information

Course ID : WMM9MO27
Course language(s): FR

You can find this course among all other courses.


Russell & Norvig (2003) - AI, a modern approach. Prentice Hall.
Wooldridge (2002) - An introduction to Multi-Agent Systems. Wiley.
Epstein, Joshua M., and Robert Axtell. Growing artificial societies: social science from the bottom up. Brookings Institution Press, 1996.
Ferber (1995) - Les systèmes multi-agent. InterEditions.

Macal, C. M., & North, M. J. (2009, December). Agent-based modeling and simulation. In Proceedings of the 2009 Winter Simulation Conference (WSC) (pp. 86-98). IEEE.
Macal, Charles M. "Everything you need to know about agent-based modelling and simulation." Journal of Simulation 10.2 (2016): 144-156.