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M-PREF 2023 : 14th Multidisciplinary Workshop on Advances in Preference Handling | |||||||||||||||
Link: https://sites.google.com/view/m-pref-2023/home | |||||||||||||||
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Call For Papers | |||||||||||||||
M-PREF 2023: CALL FOR PAPERS
14th Multidisciplinary Workshop on Advances in Preference Handling August 19, 20, or 21, 2023, Macau, S.A.R. in conjunction with IJCAI 2023 https://sites.google.com/view/m-pref-2023/home ===================================================== IMPORTANT DATES Paper submission deadline: May 1, 2023. Author notification: June 5, 2023. Camera ready version: June 20, 2023 M-PREF Workshop: August 19, 20, or 21, 2023 FORMAT The program will consist of presentations of peer-reviewed papers, invited talks, and a panel discussion. The workshop is a physical-only event. At least one author from each accepted paper must register for the workshop and travel to the IJCAI venue in person. SUBMISSION Researchers interested in preference handling from AI, OR, CS or other computational fields may submit a paper, formatted according to the IJCAI formatting instructions. The paper length is limited to 7 pages plus 2 pages for references. Authors can choose between an anonymized or non-anonymized submission. Multiple submissions of the same paper to more than one IJCAI workshop are forbidden. Formatting instructions: https://www.ijcai.org/authors_kit Submission website: https://cmt3.research.microsoft.com/MPREF2023/ 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 Haris Aziz, UNSW Sydney, Australia Ulrich Junker, France Xinhang Lu, UNSW Sydney, Australia Nicholas Mattei, Tulane University, USA Andrea Passerini, University of Trento, Italy |
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