The fundamental operation of dominance testing, i.e., determining if one alternative is preferred to another, is in general very hard for methods of reasoning with qualitative conditional preferences such as CP-nets and conditional preference theories (CP-theories). It is therefore natural to consider approximations of preference, and upper approximations are of particular interest, since they can be used within a constraint optimisation algorithm to find some of the optimal solutions. Upper approximations for preference in CP-theories have previously been suggested, but they require consistency, as well as strong acyclicity conditions on the variables. We define an upper approximation of conditional preference for which dominance checking ...
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Pr...
Preference logics and AI preference representation languages are both concerned with reasoning about...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...
Modelling and reasoning about preference is necessary for applications such as recommendation and de...
A simple logic of conditional preferences is defined, with a language that allows the compact repres...
Conditional preference networks (CP-nets) are a graphical representation of a person’s (conditional)...
A fundamental task for reasoning with preferences is the following: given input preference informati...
A logic of conditional preferences is defined, with a language which allows she compact representati...
AbstractA simple logic of conditional preferences is defined, with a language that allows the compac...
AbstractResearching preference is significative and interesting in artificial intelligence. The pape...
Conditional preference networks (CP-nets) exploit the power of ceteris paribus rules to represent pr...
International audienceThis paper proposes a \probabilistic" extension of conditional preference netw...
CP-net (Conditional Preference Network) is one of the extensively studied languages for representing...
Preferences play an important role in our ev-eryday lives. CP-networks, or CP-nets in short, are gra...
A basic task in preference reasoning is inferring a preference between a pair of outcomes (alternati...
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Pr...
Preference logics and AI preference representation languages are both concerned with reasoning about...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...
Modelling and reasoning about preference is necessary for applications such as recommendation and de...
A simple logic of conditional preferences is defined, with a language that allows the compact repres...
Conditional preference networks (CP-nets) are a graphical representation of a person’s (conditional)...
A fundamental task for reasoning with preferences is the following: given input preference informati...
A logic of conditional preferences is defined, with a language which allows she compact representati...
AbstractA simple logic of conditional preferences is defined, with a language that allows the compac...
AbstractResearching preference is significative and interesting in artificial intelligence. The pape...
Conditional preference networks (CP-nets) exploit the power of ceteris paribus rules to represent pr...
International audienceThis paper proposes a \probabilistic" extension of conditional preference netw...
CP-net (Conditional Preference Network) is one of the extensively studied languages for representing...
Preferences play an important role in our ev-eryday lives. CP-networks, or CP-nets in short, are gra...
A basic task in preference reasoning is inferring a preference between a pair of outcomes (alternati...
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Pr...
Preference logics and AI preference representation languages are both concerned with reasoning about...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...