Olivier Boissier
Papers
4
Total Citations
175
H-Index
4
About
Olivier Boissier is a leading figure in multi-agent systems (MAS), whose research centers on the design of autonomous, cooperative agents capable of self-organizing. His most impactful contribution is the development of the **MOISE+** organisational model, a framework that allows agents to dynamically reorganize themselves in response to environmental changes and their own goals. This work, detailed in his highly cited 2008 paper (115 citations), provides a formal, organisation-centred approach to MAS reorganisation, enabling more robust and adaptive collective behavior. Boissier’s early career also saw foundational work in distributed artificial intelligence, where he explored interaction protocols for controlling robot vision systems. With a career spanning from the early 1990s to today, his research has consistently advanced the practical and theoretical underpinnings of how intelligent agents coordinate. His contributions are essential reading for anyone studying organisational design in multi-agent systems, demonstrating how agents can manage their own structures to achieve complex, real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1Using the MOISE+ for a Cooperative Framework of MAS Reorganisation115 citations · 2008
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