M-PREF 2022
13th Multidisciplinary Workshop on Advances in Preference Handling
To be held at IJCAI 2022 - Vienna, 23th July
Associated with a special issue of the AMAI Journal
13th Multidisciplinary Workshop on Advances in Preference Handling
To be held at IJCAI 2022 - Vienna, 23th July
Associated with a special issue of the AMAI Journal
The workshop will take place in Galerie 15-16 in Messe Wien Exhibition and Congress Center
29 June: the program is now online, just check the Program page
10 May: the third confirmed invited speaker will be Andrea Passerini
6 May: our second confirmed invited speaker will be Haris Aziz
29 April: our first confirmed invited speaker will be Rudolf Vetschera, speaking about bargaining and negotiating in recommender systems
10 April: we are happy to announce that selected papers of the workshop will be invited to submit an extended version to an associated special issue of the AMAI journal
6 March: submission website opened at https://easychair.org/my/conference?conf=mpref2022
3 March: M-pref Workshop accepted as an ECAI-IJCAI 2022!
The workshop on Advances in Preference Handling addresses all computational aspects of preference handling. This includes methods for the elicitation, learning, modeling, representation, aggregation, and management of preferences and for reasoning about preferences. The workshop studies the usage of preferences in computational tasks from decision making, database querying, web search, personalized human-computer interaction, personalized recommender systems, e-commerce, multi-agent systems, game theory, social choice, combinatorial optimization, planning and robotics, automated problem solving, perception and natural language understanding and other computational tasks involving choices. The workshop seeks to improve the overall understanding of and best methodologies for preferences in order to realize their benefits in the multiplicity of tasks for which they are used. Another important goal is to provide cross-fertilization between the numerous sub-fields that work with preferences.
Preference handling in artificial intelligence
Preference handling in database systems
Preference handling in multiagent/multicriteria systems
Preference aggregation
Reasoning with preferences
Explaining preferences
Applications of preferences
Preference elicitation, statistical learning of preferences
Preference representation and modeling
Properties and semantics of preferences
uncertainty in preferences
Practical preferences
The format will be announced later, but will consist among other things of peer-reviewed papers. Preference will be given to papers focused on new and emerging areas as well as papers that are likely to stimulate discussion during the workshop.
Meltem Ozturk, LAMSADE, Université Paris Dauphine (meltem.ozturk@lamsade.dauphine.fr)
Christophe Labreuche, Thales (christophe.labreuche@thalesgroup.com)
Paolo Viappiani, LAMSADE, Université Paris Dauphine (paolo.viappiani@dauphine.psl.eu)
Sébastien Destercke, Heudiasyc, Université de Technologie de Compiègne (sebastien.destercke@hds.utc.fr)