Decision and Reasoning under Uncertainty

Area editors: Salem Benferhat, Henri Prade, IRIT, Toulouse, France

Area editorial committee

• Fahiem Bacchus, Univ. of Waterloo, Canada
• Bernadette Bouchon-Meunier, LIP6, Univ. of Paris VI, France
• Ronen I. Brafman, Stanford, USA
• Roger Cooke, Tech. Univ. Delft, The Netherlands
• Marek J. Druzdzel, Univ. of Pittsburgh, USA
• Didier Dubois, IRIT, Toulouse, France
• Francesc Esteva, IIIA-CSIC, Bellaterra, Spain
• Finn V. Jensen, Aalborg Univ., Denmark
• Jurg Kohlas, Univ. of Fribourg, Switzerland
• Rudolf Kruse, Univ. of Magdeburg, Germany
• Serafin Moral, Univ. of Granada, Spain
• Lech Polkowski, Warsaw Univ. of Technology, Poland
• Prakash P. Shenoy, Univ. of Kansas, USA
• Philippe Smets, IRIDIA, Free Univ. of Brussels, Belgium

Definition of the area

This area covers researches on reasoning and decision under uncertainty both on the methodological and on the applicative sides. Significant papers are invited from the whole spectrum of uncertainty in Artificial Intelligence researches. Topics of interests include, but are not restricted to:

Methods:

• Probability theory (Bayesian or not),
• Belief function theory,
• Upper and lower probabilities,
• Possibility theory,
• Fuzzy sets,
• Rough sets,
• Measures of information,
• ...

Problems:

• Approximate reasoning,
• Decision-making under uncertainty,
• Planning under uncertainty,
• Uncertainty issues in learning and data mining,
• Algorithms for uncertain reasoning,
• Formal languages for representing uncertain information,
• Belief revision and plausible reasoning under uncertainty,
• Data fusion,
• Diagnosis,
• Inference under uncertainty, expert systems,
• Cognitive modelling and uncertainty,
• Practical applications,
• ...