Preferences in AI An overview》.pdfVIP

Artificial Intelligence 175 (2011) 1037–1052 Contents lists available at ScienceDirect Artificial Intelligence /locate/artint Preferences in AI: An overview Carmel Domshlak a , Eyke Hüllermeier b , Souhila Kaci c , Henri Prade d a Faculty of Industrial Engineering and Management, Technion – Israel Institute of Technology, Israel b Department of Mathematics and Computer Science, Philipps-Universität Marburg, Germany c CRIL, IUT de Lens, Rue de l’Université, SP 16, 62300 Lens, France d IRIT, Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cedex 09, France a r t i c l e i n f o a b s t r a c t Keywords: This editorial of the special issue “Representing, Processing, and Learning Preferences: Preference Theoretical and Practical Challenges” surveys past and ongoing research on preferences Graphical representation in AI, including references and pointers to the literature. It covers approaches to Logical representation representation, reasoning and learning of preferences. Methods in AI are contrasted with Aggregation functions those in related areas, such as operations research and databases. Finally, we also give a Preference queries Preference learning brief introduction to the contents of the special issue. © 2011 Publish