Group decision-making processes can be supported by group recommender systems that
help groups of users obtain satisfying decision outcomes. These systems integrate a …

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 …

The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …

Current work in planning with preferences assumes that user preferences are completely
specified, and aims to search for a single solution plan to satisfy these. In many real world …

Interactive Democracy is an umbrella term that encompasses a variety of approaches to
make collective decision making processes more engaging and responsive. A common goal …

Abstract Dung's abstract Argumentation Framework (AF) has emerged as a central
formalism in the area of knowledge representation and reasoning. Preferences in AF allow …

As proved by the continuous growth of the number of web sites which embody recommender
systems as a way of personalizing the experience of users with their content, recommender …

Activity planning for missions such as the Mars Exploration Rover mission presents many
technical challenges, including oversubscription, consideration of time, concurrency …

Automated negotiation protocols represent a potentially powerful tool for problem solving in
decision support systems involving participants with conflicting interests. However, the …