13th Multidisciplinary Workshop on Advances in Preference Handling (MPREF 2022)

[Paolo Viappiani]

hello,

I would like to inform the community about this workshop (co-located
with IJCAI) that I am co-organizing.
ML approaches to preferences are welcome!

Paolo


========================================================

M-PREF13: CALL FOR PAPERS

13th Multidisciplinary Workshop on Advances in Preference Handling

July 23 - 25, 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’13 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