Publication | Closed Access
A Classification and Survey of Preference Handling Approaches in Nonmonotonic Reasoning
117
Citations
51
References
2004
Year
Artificial IntelligenceEngineeringQualitative Preferential InformationModel-based ReasoningSemanticsUnderlying PrinciplesPreference LearningNonmonotonic LogicManagementQualitative ReasoningDecision TheoryMechanism DesignPreference ModelingCognitive ScienceReasoning SystemReasoning About ActionNonmonotonic ReasoningComputer SciencePreference AggregationPreference Handling ApproachesAutomated ReasoningPreference ElicitationDecision Science
In recent years, there has been a large amount of disparate work concerning the representation and reasoning with qualitative preferential information by means of approaches to nonmonotonic reasoning. Given the variety of underlying systems, assumptions, motivations, and intuitions, it is difficult to compare or relate one approach with another. Here, we present an overview and classification for approaches to dealing with preference. A set of criteria for classifying approaches is given, followed by a set of desiderata that an approach might be expected to satisfy. A comprehensive set of approaches is subsequently given and classified with respect to these sets of underlying principles.
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