Accéder directement au contenu

Nicolas Maudet

Nicolas Maudet Professor in Computer Science LIP6, Sorbonne Université
6
Documents
Identifiants chercheurs

Présentation

I am a Professor in Computer Science at Sorbonne Université, and a member of the multiagent systems team of the [LIP6](http://www.lip6.fr/) lab. Before that, I was an Assistant Professor (Lecturer, MCF) in Computer Science at Univ. Paris-Dauphine, LAMSADE Lab; and even before that I spent a year as a postdoctoral Research Fellow at Imperial College and City University. I hold a PhD from Univ. Paul Sabatier (Toulouse) and an [ habilitation ](http://tel.archives-ouvertes.fr/tel-00563437_v1/) from Univ. Paris-Dauphine. **\[Research topics\] ::** My main research interests are artificial intelligence and multiagent systems, and concern various aspects of collective (and often distributed) decision making. More precisely, the topics I currently investigate include: computational social choice (in particular distributed mechanisms for resource allocation); argumentation-based reasoning and interaction; explanation in the context of decision-aiding; agent communication languages, interaction protocols.
I am a Professor in Computer Science at Univ. Pierre et Marie Curie (aka Paris-6), and a member of the SMA team, as part of the DESIR department of [LIP6](http://www.lip6.fr/). Before that, I was an Assistant Professor (Lecturer, MCF) in Computer Science at Univ. Paris-Dauphine, LAMSADE Lab; and even before that I spent a year as a postdoctoral Research Fellow at Imperial College and City University. I hold a PhD from Univ. Paul Sabatier (Toulouse) and an [ habilitation ](http://tel.archives-ouvertes.fr/tel-00563437_v1/) from Univ. Paris-Dauphine. **\[Research topics\] ::** My main research interests are artificial intelligence and multiagent systems, and concern various aspects of collective (and often distributed) decision making. More precisely, the topics I currently investigate include: computational social choice (in particular distributed mechanisms for resource allocation); argumentation-based reasoning and interaction; explanation in the context of decision-aiding; agent communication languages, interaction protocols.

Domaines de recherche

Intelligence artificielle [cs.AI]

Publications

alexis-tsoukias

Minimal and Complete Explanations for Critical Multi-attribute Decisions

Wassila Ouerdane , Nicolas Maudet , Alexis Tsoukias
Proceedings of the 2nd International Conference on Algorithmic Decision Theory (ADT'2011), Oct 2011, Piscataway New Jersey, United States. pp.121-134
Communication dans un congrès hal-01212436v1

Dealing with the dynamics of proof-standard in argumentation-based decision aiding.

Wassila Ouerdane , Nicolas Maudet , Alexis Tsoukias
Proceedings of the Fifth European Starting AI Researcher Symposium (STAIRS'10). co-located with ECAI 2010, Aug 2010, Lisbon, Portugal. pp.225-237
Communication dans un congrès hal-01212440v1

Dealing with the dynamics of proof-standards in argumentation based decision aiding

Wassila Ouerdane , Nicolas Maudet , Alexis Tsoukias
Proceedings of the 19th European Conference on Artificial Intelligence (ECAI'10), 2010, Lisbon, Portugal
Communication dans un congrès hal-03102741v1

Argument Schemes and Critical Questions for Decision Aiding Process

Wassila Ouerdane , Nicolas Maudet , Alexis Tsoukiàs
Proceedings of the 2nd international conference on Computational Models of Argument (COMMA2008), May 2008, Toulouse, France
Communication dans un congrès hal-01489285v1

Arguing over actions that involve multiple criteria: A critical review

Wassila Ouerdane , Nicolas Maudet , Alexis Tsoukias
In Proc. of the 9th European Conf. on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2007,, Oct 2007, Hammamet, Tunisia. pp.308--319
Communication dans un congrès hal-01212348v1

Argumentation Theory and Decision Aiding

Wassila Ouerdane , Nicolas Maudet , Alexis Tsoukias
J. Figueira, S. Greco, and M. Ehrgott. Trends in Multiple Criteria Decision Analysis, 142 (1), pp.177-208, 2010, International Series in Operations Research and Management Science
Chapitre d'ouvrage hal-01212363v1