Dominance testing, the problem of determining whether an outcome is preferred over another, is of fundamental importance in many applications. Hence, there is a need for algorithms and tools for dominance testing. CP-nets and TCP-nets are some of the widely studied languages for representing and reasoning with preferences. We reduce dominance testing in TCP-nets to reachability analysis in a graph of outcomes. We provide an en-coding of TCP-nets in the form of a Kripke structure for CTL. We show how to compute dominance using NuSMV, a model checker for CTL. We present results of experiments that demonstrate the feasibility of our approach to dominance testing
In some selection situations a simple majority is not enough to indicate that one item dominates the...
International audienceThe problem of computing dominators in a control flow graph is central to nume...
International audienceDominance constraints for finite tree structures are widely used in several ar...
Dominance testing, the problem of determining whether an outcome is preferred over another, is of fu...
CP-net (Conditional Preference Network) is one of the extensively studied languages for representing...
AbstractResearching preference is significative and interesting in artificial intelligence. The pape...
Preferences play an important role in our ev-eryday lives. CP-networks, or CP-nets in short, are gra...
We investigate the computational complexity oftesting dominance and consistency in CP-nets. Upuntil ...
Modelling and reasoning about preference is necessary for applications such as recommendation and de...
We investigate the computational complexity of testing dominance and consistency in CP-nets. Previou...
Conditional preference networks (CP-nets) are a graphical representation of a person’s (conditional)...
We investigate the computational complexity of testing dominance and consistency in CP-nets. Previou...
International audienceThis paper proposes a \probabilistic" extension of conditional preference netw...
In the task of preference learning, there can be natural invariance properties that one might often ...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...
In some selection situations a simple majority is not enough to indicate that one item dominates the...
International audienceThe problem of computing dominators in a control flow graph is central to nume...
International audienceDominance constraints for finite tree structures are widely used in several ar...
Dominance testing, the problem of determining whether an outcome is preferred over another, is of fu...
CP-net (Conditional Preference Network) is one of the extensively studied languages for representing...
AbstractResearching preference is significative and interesting in artificial intelligence. The pape...
Preferences play an important role in our ev-eryday lives. CP-networks, or CP-nets in short, are gra...
We investigate the computational complexity oftesting dominance and consistency in CP-nets. Upuntil ...
Modelling and reasoning about preference is necessary for applications such as recommendation and de...
We investigate the computational complexity of testing dominance and consistency in CP-nets. Previou...
Conditional preference networks (CP-nets) are a graphical representation of a person’s (conditional)...
We investigate the computational complexity of testing dominance and consistency in CP-nets. Previou...
International audienceThis paper proposes a \probabilistic" extension of conditional preference netw...
In the task of preference learning, there can be natural invariance properties that one might often ...
This paper proposes a “probabilistic ” extension of conditional preference networks as a way to comp...
In some selection situations a simple majority is not enough to indicate that one item dominates the...
International audienceThe problem of computing dominators in a control flow graph is central to nume...
International audienceDominance constraints for finite tree structures are widely used in several ar...