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

Uncertainty often pervades information and knowledge. For this reason, the handling of
uncertainty in inference systems has been an issue for a long time in artificial intelligence …

Logic programs with ordered disjunction (LPODs) contain a new connective which allows
representing alternative, ranked options for problem solutions in the heads of rules: A× B …

In this paper we present a Gentzen system for reasoning with contrary-to-duty obligations.
The intuition behind the system is that a contrary-to-duty is a special kind of normative …

We investigate the combination of answer set programming and qualitative optimization
techniques. Answer set optimization programs (ЫЧ programs) have two parts. The …

We introduce the notion of combinatorial vote, where a group of agents (or voters) is
supposed to express preferences and come to a common decision concerning a set of non …

In this paper, we address the problem of specifying and generating preferred plans using
rich, qualitative user preferences. We propose a logical language for specifying non …

Several logical languages have been considered in AI for encoding compactly preference
relations over a set of alternatives. In this paper, we analyze both the expressiveness and …

The paper proposes a fresh look at the concept of goal and advances that motivational
attitudes like desire, goal and intention are just facets of the broader notion of (acceptable) …

We give an overview of the multifaceted relationship between nonmonotonic logics and
preferences. We discuss how the nonmonotonicity of reasoning itself is closely tied to …