My research primarily focuses on Multi-Agent Systems (MAS): a modeling paradigm for designing systems made of autonomous individual entities interacting within shared environments (collective robotics, ecosystems, social systems, etc.).
I especially worked on:
Identifying the most adequate abstractions for MAS modeling and simulation.
Defining methods and software tools for MAS efficient implementation.
All my publications: here
I am currently involved in one work package of the SLAM-B project (Scenario Labs and Integrated Assessment Modelling for Bioeconomy development),
led by Olivier Thérond (INRAE) and funded by the Fair’CarboN PEPR, an ANR major exploratory program aimed at achieving carbon neutrality by 2050.
SLAM-B investigates bioeconomic processes capable of simultaneously addressing food production challenges and natural resource preservation (SLAM-B).
In this context, I co-supervise the PhD thesis of Tiziano Maisonhaute (started in 2023) alongside Jean-Christophe Soulié (CIRAD), which is entitled "Multi-Agent Reinforcement Learning for the Simulation of Bioeconomic Supply Chains".
-
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents
F. Suro, F. Michel, T. Stratulat
Artificial Intelligence, 337, 104228, 2024.
-
A Taxonomy of Blockchain Incentive Vulnerabilities for Networked Intelligent Systems
H. Roussille, Ö. Gürcan, F. Michel
IEEE Communications Magazine, 61(8), 108-114, 2023.
-
Input addition and deletion in reinforcement: towards protean learning
I. Bonnici, A. Gouaïch, F. Michel
Autonomous Agents and Multi-Agent Systems, 36(1), 1-34, 2022.
-
AGR4BS: A Generic Multi-Agent Organizational Model for Blockchain Systems
H. Roussille, Ö. Gürcan, F. Michel
Big Data and Cognitive Computing, 6(1), 2021.
-
A hierarchical representation of behaviour supporting open ended development and progressive learning for artificial agents
F. Suro, J. Ferber, T. Stratulat, F. Michel
Autonomous Robots, 45, 245–264, 2021.
-
Modeling oil palm pollinator dynamics using deterministic and agent‐based approaches. Applications on fruit set estimates. Some preliminary results
Y. Dumont, J.C. Soulie, F. Michel
Mathematical Methods in the Applied Sciences, 41(18), 8545-8564, 2018.
-
Complex flocking dynamics without global stimulus
E. Hermellin, F. Michel
Artificial Life Conference Proceedings, 513-520, 2017.
-
GPU delegation: Toward a generic approach for developing MABS using GPU programming
E. Hermellin, F. Michel
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 1249-1258, 2016.
-
Agent Environments for Multi-Agent Systems IV (4th International Workshop, E4MAS 2014, Revised Selected Papers)
D. Weyns, H.V.D. Parunak, F. Michel (Eds.)
Lecture Notes in Computer Science, Vol. 3374, 2015.
-
Translating Agent Perception Computations into Environmental Processes in Multi‐Agent‐Based Simulations: A means for Integrating Graphics Processing Unit Programming
F. Michel
Systems Research and Behavioral Science, 30(6), 703-715, 2013.
-
Generic architecture for multi-AUV cooperation based on a multi-agent reactive organizational approach
N. Carlési, F. Michel, B. Jouvencel, J. Ferber
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
-
Multi-agent systems and simulation: a survey from the agents community’s perspective
F. Michel, J. Ferber, A. Drogoul
Multi-Agent Systems: Simulation and Applications, 5, 3-52, 2009.
-
The IRM4S model: The influence/reaction principle for multiagent based simulation
F. Michel
6th International Joint Conference on Autonomous Agents and Multiagent Systems, 2007.
-
Modeling dynamic environments in multi-agent simulation
A. Helleboogh, G. Vizzari, A. Uhrmacher, F. Michel
Autonomous Agents and Multi-Agent Systems, 14(1), 87-116, 2007.
-
Environments for multiagent systems state-of-the-art and research challenges
D Weyns, HVD Parunak, F Michel, T Holvoet, J Ferber
Environments for multi-agent systems, 1-47, 2004
I actively maintain two MAS-based softwares:
MaDKit: Multi-Agent Development Kit
TurtleKit: Java library for simulating MAS
Follow this link