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
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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/authorskit
Submission website: https://cmt3.research.microsoft.com/MPREF2023/
Multiple Submission: To widen participation and encourage discussion,
there will be no formal publication of workshop proceedings. We will,
however, post the accepted papers online to the benefit of the
participants to the workshop. Therefore, submission of preliminary
work and papers to be submitted or in preparation for submission to
other major venues in the field are encouraged.
Past Submissions: In order to strike a balance between new work and
work that may have been presented but not widely seen we ask that if
authors want to submit published work they do so non-anonymously and
clearly indicate when and where the work was published. We will only
accept work which has been published in the last calendar year (e.g.,
IJCAI 2022, NeurIPS 2022, AAAI 2023, and any conference held after
Feb. 2022).
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
PROGRAM COMMITTEE (to be completed)
Stefano Bistarelli
Sirin Botan
Martin Bullinger
Edith Elkind
Judy Goldsmith
Umberto Grandi
Jérôme Lang
Zihao Li
Shengxin Liu
Jerome Mengin
Vincent Mousseau
Patrice Perny
Baharak Rastegari
Sujoy Sikdar
Martin Strobel
Warut Suksompong
Mashbat Suzuki
Biaoshuai Tao
Nicholas Teh
Jeremy Vollen
Toby Walsh
Nic Wilson
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