科研组 : SMA - Translate here
Axes :
AID (👥👥),
ASN (👥).
The MAS team focuses on the design of intelligent systems which are characterized by :
- Intelligent agents : the MAS are autonomous, with cognitive abilities ( decision, reasoning, learning) and a reflexive behavior that enables them to act, observe their actions and modify them accordingly.
- Agent interaction : the agents evolve in a shared environment and are open to users or other systems
- System complexity : as a result of the two previous properties, agents are heterogeneous and can scale to very large numbers
Main research areas of the MAS team (short and middle term)
The MAS team studies the different questions of artificial intelligence arising in a collective context, which provide new research issues such as:
- Multi-agents coordination (distributed planification, coalition generation, negotiation and consensus, collective decision)
- Multi-agent learning and adaptation
- Dialog, interaction and interaction protocols
- MAS-based engineering
- Multi-agent simulation
These research areas can be applied to the following domains : Mobile agents, pervasive and ubiquitous intelligence, animated conversational agents, service-oriented architectures (SOA, WS, BPM), economics, simulation ( airborne missions, naval surveillance, etc..), interactive systems and games.
Cognitive Multi-Agent Systems : coordination, interaction, learning, languages and multi-agent platforms
Selected publications
- G. Bourgne, A. El Fallah Seghrouchni, N. Maudet : “Towards refinement of abductive or inductive hypotheses through propagation”, Journal of Applied Logic, vol. 7 (3), pp. 289-306, (ISBN: 1570-8683) [Bourgne 2009b]
- M. Ochs, N. Sabouret, V. Corruble : “Simulation of the Dynamics of Non-Player Characters' Emotions and Social Relations in Games”, IEEE Transactions on Computational Intelligence and AI in Games, vol. 1 (4), pp. 281-297, (ISBN: 1943-068X) [Ochs 2009d]
- A. Guerra‑Hernández, J. Castro‑Manzano, A. El Fallah Seghrouchni : “CTL AgentSpeak(L): a Specification Language for Agent Programs”, Journal of Algorithms in Cognition, Informatics and Logic, vol. 64 (1), pp. 31-40, (ISBN: 0196-6774) [Guerra-Hernández 2009]
- A. Beynier, A.‑I. Mouaddib : “Solving Efficiently Decentralized MDPs with Temporal and Resource Constraints”, Autonomous Agents and Multi-Agent Systems, vol. 23 (3), pp. 486-539, (ISBN: 1387-2532) [Beynier 2011b]
- Y. Chevaleyre, J. Lang, N. Maudet, J. Monnot, L. Xia : “New candidates welcome! Possible winners with respect to the addition of new candidates”, Mathematical Social Sciences, vol. 64 (1), pp. 74-88, (ISBN: 0165-4896) [Chevaleyre 2012]
- L. Navarro, F. Flacher, V. Corruble : “Dynamic Level of Detail for Large Scale Agent-Based Urban Simulations”, The Tenth International Conference on Autonomous Agents and Multiagent Systems, Taipei, Taiwan, pp. 701-708, (International Foundation for Autonomous Agents and Multiagent Systems) [Navarro 2011]
- G. Bourgne, H. Soldano, A. El Fallah Seghrouchni : “Learning better together”, European Conference on Artificial Intelligence ECAI 2010, vol. 215, Frontiers in Artificial Intelligence and Applications, H. Coelho, R. Studer, M. Wooldridge (Eds.), Lisbon, Portugal, pp. 85-90, (IOS Press) [Bourgne 2010]
- S. Thiriot, J.‑D. Kant : “Using associative networks to represent adopters' beliefs in a multi-agent model of innovation diffusion”, Advances in Complex Systems, vol. 11 (2), pp. 261-272, (ISBN: 0219-5259) [Thiriot 2008d]
- Z. Lewkovicz, J.‑D. Kant : “A multi-agent simulation of a stylized French Labor Market : emergences at the micro-level”, Advances in Complex Systems, vol. 11 (2), pp. 217-230, (ISBN: 0219-5259) [Lewkovicz 2008]
- M. Hemaissia, A. El Fallah Seghrouchni, Ch. Labreuche, J. Mattioli : “A Multilateral Multi-Issue Negotiation Protocol”, International Conference on Autonomous Agents and Multiagent Systems, Honolulu, HI, USA, pp. 939-946, (ACM), (ISBN: 978-81-904262-7-5) [Hemaissia 2007b]
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