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CALL FOR PAPERS

12th Multidisciplinary Workshop on
Advances in Preference Handling (M-PREF)
Santiago de Compostela, Spain, June 8, 2020
in conjunction with ECAI 2020.

http://mpref2020.preferencesql.com
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DESCRIPTION OF WORKSHOP
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Human-centered AI requires that AI systems are able to adapt to
humans, to understand the preferences underlying human choice
behavior, and to take them into account when interacting with humans
or when acting on their behalf. Preference models are needed in
decision-support systems such as web-based recommender systems, in
digital assistants and chatbots, in automated problem solvers such as
configurators, and in autonomous systems such as Mars rovers. Nearly
all areas of artificial intelligence deal with choice situations and
can thus benefit from computational methods for handling preferences
while gaining new capabilities such as explainability and revisability
of choices. Preference handling is also important for machine learning
as preferences may guide learning behavior and be subject of dedicated
learning methods. Moreover, social choice methods are of key
importance in computational domains such as multi-agent
systems. Preferences are studied in many areas of artificial
intelligence such as knowledge representation & reasoning, multi-agent
systems, game theory, computational social choice, constraint
satisfaction, logic programming and non-monotonic reasoning, decision
making, decision-theoretic planning, and beyond. Preferences are
inherently a multi-disciplinary topic, of interest to economists,
computer scientists (including AI, databases, and human-computer
interaction), operations researchers, mathematicians and more.

The workshop will provide a forum for presenting advances in
preference handling and for exchanging experiences between researchers
facing similar questions, but coming from different fields.


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TOPICS
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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 as well as methods 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,
computational social choice, combinatorial optimization, automated
problem solving, non-monotonic reasoning, planning and robotics,
perception and natural language understanding, and other computational
tasks involving choices. A particular challenge consists in using
preferences for explaining decisions and for counterfactual reasoning
based on hypothetical preference change. Another challenge is to
explore new application areas for preferences such as sustainable
development and digital healthcare systems. 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 fields that work with
preferences.

- Preference handling in artificial intelligence
- Preference handling in database systems
- Preference handling in multiagent systems
- Applications of preferences
- Preference elicitation and learning
- Preference representation and modeling
- Properties and semantics of preferences
- Practical preferences


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FORMAT
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The program will consist of presentations of peer-reviewed papers,
panel discussions about future challenges, and an invited talk. We
plan to invite an expert from one of the topics mentioned
above. Preference will be given to papers focused on new and emerging
areas as well as papers that are likely to stimulate discussion during
the workshop.


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ATTENDANCE
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At least one author from each accepted paper must register for the
workshop. All authors as well as researchers interested in the field
are encouraged to participate.


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SUBMISSION REQUIREMENTS
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Papers must be formatted according to the ECAI Formatting Instructions
and up to 7 pages in length + 1 page for references in PDF format.
Authors can choose between an anonymized or non-anonymized submission.


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IMPORTANT DATES
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Feb 28, 2020: Workshop paper submission deadline.
April 8, 2020: Notification on workshop paper submissions.
June 8, 2020: M-PREF 2020 Workshop.


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SUBMIT TO
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https://easychair.org/conferences/?conf=mpref20


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WORKSHOP CHAIRS
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Markus Endres
Ulrich Junker
Andreas Pfandler


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CONTACT EMAIL
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mpref20@easychair.org

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WORKSHOP URL
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http://mpref2020.preferencesql.com