Logical models of arguement formalize commonsense reasoning while taking process and
computation seriously. This survey discusses the main ideas that characterize different …

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

859 theory lies at the crossroads between fuzzy sets, probability, and nonmonotonic
reasoning. Possibility theory is closely related to fuzzy sets if one considers that a possibility …

Over the last ten years, argumentation has come to be increasingly central as a core study
within Artificial Intelligence (AI). The articles forming this volume reflect a variety of important …

Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part
organization provides easy referencing of recent as well as older results in the field. The first …

Numerical possibility distributions can encode special convex families of probability
measures. The connection between possibility theory and probability theory is potentially …

This chapter provides an overview of possibility theory, emphasizing its historical roots and
its recent developments. Possibility theory lies at the crossroads between fuzzy sets …

The work in this paper is directed towards sophisticated formalisms for reasoning under
probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role in …

Due to its major focus on knowledge representation and reasoning, artificial intelligence was
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …

Possibilistic logic is a weighted logic introduced and developed since the mid-1980s, in the
setting of artificial intelligence, with a view to develop a simple and rigorous approach to …