MPREF 2018 - 11th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF)

Preferences are a central concept of decision making. As preferences
are fundamental for the analysis of human choice behavior, they are
becoming of increasing importance for computational fields such as
artificial intelligence, databases, and human-computer interaction as
well as for their respective applications.
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.
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 systems
Applications of preferences
Preference elicitation
Preference representation and modeling
Properties and semantics of preferences
Practical preferences