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

Social choice theory concerns the design and formal analysis of methods for aggregating
the preferences of multiple agents. Examples of such methods include voting procedures …

The more AI agents are deployed in scenarios with possibly unexpected situations, the more
they need to be flexible, adaptive, and creative in achieving the goal we have given them …

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 …

The Internet enables computers and (by proxy) humans to communicate at distances and
speeds previously unimaginable. Many of the benefits from this technology are derived from …

We present a formal model of opinion diffusion and formation which combines notions from
social network analysis together with concepts and techniques from judgment aggregation …

We study the problem of fairly dividing a set of goods amongst a group of agents, when
those agents have preferences that are ordinal relations over alternative bundles of goods …

If we want people to trust AI systems, we need to provide the systems we create with the
ability to discriminate between what humans would consider good and bad decisions. The …

We consider problems in which several individuals each need to make a yes/no choice
regarding a number of issues and these choices then need to be aggregated into a …

We give an introduction to social choice theory, the formal study of mechanisms for collective
decision making, and highlight the role that logic has taken, and continues to take, in its …