| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 377145 | Artificial Intelligence | 2011 | 16 Pages |
Abstract
This editorial of the special issue “Representing, Processing, and Learning Preferences: Theoretical and Practical Challenges” surveys past and ongoing research on preferences in AI, including references and pointers to the literature. It covers approaches to representation, reasoning and learning of preferences. Methods in AI are contrasted with those in related areas, such as operations research and databases. Finally, we also give a brief introduction to the contents of the special issue.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
