This editorial of the special issue “Representing, Processing, and Learning Preferences:
Theoretical and Practical Challenges” surveys past and ongoing research on preferences in …

The paper presents a focused survey about the presence and the use of the concept of
“preferences” in Artificial Intelligence. Preferences are a central concept for decision making …

In many real-world group decision making problems, the set of alternatives is a Cartesian
product of finite value domains for each of a given set of variables (or issues). Dealing with …

In order to represent the preferences of a group of individuals, we introduce Probabilistic CP-
nets (PCP-nets). PCP-nets provide a compact language for representing probability …

How do humans or machines make a decision? Whenever we make a decision, we consider
our preferences over the possible options. Also, in a social context, collective decisions are …

We consider a set of voters making a collective decision via simultaneous vote on two binary
issues. Voters' preferences are captured by payoffs assigned to combinations of outcomes …

This paper deals with preference representation on combinatorial domains and preference-
based recommendation in the context of multicriteria or multiagent decision making. The …

We consider scenarios where several agents must aggregate their preferences over a large
set of candidates with a combinatorial structure. That is, each candidate is an element of the …

In this thesis, we present a decision-theoretic framework for building decision support
systems that incrementally elicit preferences of individual users over multiattribute outcomes …

For at least two thousand years, voting has been used as one of the most effective ways to
aggregate people's ordinal preferences. In the last 50 years, the rapid development of …