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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.
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.
PrerequisitesNone
Oral presentation of research papers.
Agent-based simulation tutorial with the GAMA platform.
Final exam: course questions; modelling exercise; research paper analysis.
The exam is given in english only 
The course exists in the following branches:
)Course ID : WMM9MO27
Course language(s):
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LIVRES / BOOKS
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.
ARTICLES / PAPERS
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.
Date of update January 15, 2017
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