======================================================== M-PREF13: CALL FOR PAPERS
13th Multidisciplinary Workshop on Advances in Preference Handling July 23 or 24, 2022, Vienna, Austria, in conjunction with IJCAI-ECAI2022 ======================================================== Workshop website: https://sites.google.com/view/m-pref2022/ IMPORTANT DATES * Friday, May 13, 2022: Workshop paper submission deadline. * Monday, June 3, 2022: Notification on workshop paper submissions. * Friday, June 17, 2022: Camera-ready copy due to organizers. * July XX, 2022: M-PREF’12 Workshop. (XX = 23,24 or 25) SUBMISSION Researchers interested in preference handling from AI, OR, CS or other computational fields may submit a paper (7 + 1 pages in PDF, formatted in IJCAI style) via Easy Chair system: Easy Chair : https://www.easychair.org/login.cgi?conf=mpref2022 TOPICS 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 WORKSHOP CHAIRS Meltem Ozturk, LAMSADE, PSL-Université Paris Dauphine Christophe Labreuche, Thales Paolo Viappiani, LAMSADE, PSL-Université Paris Dauphine Sébastien Destercke, Heudiasyc, Université de Technologie de Compiègne -- ********************************************************************************* Paolo Viappiani, PhD, CNRS researcher ********************************************************************************* <call_for_papers.pdf> ********************************************************************************* Paolo Viappiani, PhD, CNRS researcher ********************************************************************************* _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
