Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds: qualitative, quantitative, conditional, positive or negative, to name a few. Our ultimate goal is to define and study formalisms that can model problems with both constraints and many kind of preferences, possibly defined by several agents, and to develop tools to solve such problems efficiently.
In this paper we briefly report on recent work towards this goal.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten