(apologies for multiple receptions) papers dealing with imprecise probabilities and preferences are well accepted!

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M-PREF13: FINAL CALL FOR PAPERS

(DEADLINE EXTENDED)

13th Multidisciplinary Workshop on Advances in Preference Handling

July 23, Vienna, Austria, in conjunction with IJCAI-ECAI2022

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Workshop website: https://sites.google.com/view/m-pref2022/

INVITED TALKS

• Rudolf Vetschera, University of Wien

• Haris Aziz, UNSW Sydney

• Andrea Passerini, University of Trento

IMPORTANT DATES

• Friday, May 20, 2022: Workshop paper submission deadline (recently extended).

• Monday, June 8, 2022: Notification on workshop paper submissions.

• Friday, June 17, 2022: Camera-ready copy due to organizers.

• July 23, 2022: M-PREF’13 Workshop.

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