International audienceBipolar possibility theory relies on the use of four set functions. On the one hand, a weak possibility and a strong necessity measure are increasing set functions, which are respectively max-decomposable with respect to union and min-decomposable with respect to intersection. On the other hand, strong possibility and weak necessity measures are two decreasing set functions, which are respectively min-decomposable with respect to union and max-decomposable with respect to intersection. In the first part of the paper we advocate the use of the last two functions for modeling a notion of graded desire. Moreover, we show that the combination of weak possibility and strong possibility allows us to model a notion of realist...
Edited by S. Konieczny, and E. GrégoireInternational audienceThe bipolar view in preference modelin...
AbstractIn this paper, we study the semantics for the logics of preference based on possibility theo...
AbstractPossibilistic logic has been proposed as a numerical formalism for reasoning with uncertaint...
Bipolar possibility theory relies on the use of four set functions. On the one hand, a weak possibil...
Bipolar possibility theory relies on the use of four set functions. On the one hand, a weak possibil...
International audienceRecently, it has been emphasized that the possibility theory framework allows ...
From a knowledge representation point of view, it may be interesting to distinguish between (i) what...
DARe 2016 co-located with the 22th European Conference on Artificial Intelligence (ECAI 2016)Interna...
Extended Abstract. The ideas and results presented in this extended abstract are the fruit of jointw...
Possibility theory and modal logic are two knowledge representation frameworks that share some commo...
International audienceThe aim of this paper is to propose a formal approach to reasoning about desir...
As extensively studied in the artificial intelligence literature, agents may have to revise their be...
The paper emphasizes the interest of distinguishing between negative and positive information. While...
International audienceWhen representing knowledge, it may be fruitful to distinguish between negativ...
The setting of formal concept analysis presupposes the existence of a relation between objects and p...
Edited by S. Konieczny, and E. GrégoireInternational audienceThe bipolar view in preference modelin...
AbstractIn this paper, we study the semantics for the logics of preference based on possibility theo...
AbstractPossibilistic logic has been proposed as a numerical formalism for reasoning with uncertaint...
Bipolar possibility theory relies on the use of four set functions. On the one hand, a weak possibil...
Bipolar possibility theory relies on the use of four set functions. On the one hand, a weak possibil...
International audienceRecently, it has been emphasized that the possibility theory framework allows ...
From a knowledge representation point of view, it may be interesting to distinguish between (i) what...
DARe 2016 co-located with the 22th European Conference on Artificial Intelligence (ECAI 2016)Interna...
Extended Abstract. The ideas and results presented in this extended abstract are the fruit of jointw...
Possibility theory and modal logic are two knowledge representation frameworks that share some commo...
International audienceThe aim of this paper is to propose a formal approach to reasoning about desir...
As extensively studied in the artificial intelligence literature, agents may have to revise their be...
The paper emphasizes the interest of distinguishing between negative and positive information. While...
International audienceWhen representing knowledge, it may be fruitful to distinguish between negativ...
The setting of formal concept analysis presupposes the existence of a relation between objects and p...
Edited by S. Konieczny, and E. GrégoireInternational audienceThe bipolar view in preference modelin...
AbstractIn this paper, we study the semantics for the logics of preference based on possibility theo...
AbstractPossibilistic logic has been proposed as a numerical formalism for reasoning with uncertaint...