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
Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial i...
This chapter provides the reader with a presentation of preference modelling fundamental notions as ...
Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial i...
Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds:...
We review constraint-based approaches to handle preferences. We start by defining the main notions o...
Modelling and reasoning with preferences in constraint-based systems has been considered for a long ...
Abstract. In this article, we propose a new soft constraint called preference constraint, squaring w...
A family of modal logics of preference is presented. It is argued that modeling preference as a moda...
International audienceComparative preference statements are the basic ingredients of conditional log...
International audiencePreferences are useful in many real-life problems, guiding human decision maki...
As systems dealing with preferences become more sophisticated, it becomes essential to deal with var...
International audienceThe classical way of encoding preferences in decision theory is by means of ut...
International audienceThe classical way of encoding preferences in decision theory is by means of ut...
Automated decision making often requires solving difficult (e.g., NP-hard) problems. In many AI appl...
Abstract. We present a novel approach to deal with preferences expressed as a mixture of hard constr...
Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial i...
This chapter provides the reader with a presentation of preference modelling fundamental notions as ...
Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial i...
Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds:...
We review constraint-based approaches to handle preferences. We start by defining the main notions o...
Modelling and reasoning with preferences in constraint-based systems has been considered for a long ...
Abstract. In this article, we propose a new soft constraint called preference constraint, squaring w...
A family of modal logics of preference is presented. It is argued that modeling preference as a moda...
International audienceComparative preference statements are the basic ingredients of conditional log...
International audiencePreferences are useful in many real-life problems, guiding human decision maki...
As systems dealing with preferences become more sophisticated, it becomes essential to deal with var...
International audienceThe classical way of encoding preferences in decision theory is by means of ut...
International audienceThe classical way of encoding preferences in decision theory is by means of ut...
Automated decision making often requires solving difficult (e.g., NP-hard) problems. In many AI appl...
Abstract. We present a novel approach to deal with preferences expressed as a mixture of hard constr...
Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial i...
This chapter provides the reader with a presentation of preference modelling fundamental notions as ...
Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial i...