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A Classification and Survey of Preference Handling Approaches in Nonmonotonic Reasoning
Author(s) -
Delgrande James,
Schaub Torsten,
Tompits Hans,
Wang Kewen
Publication year - 2004
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.0824-7935.2004.00240.x
Subject(s) - preference , artificial intelligence , set (abstract data type) , variety (cybernetics) , computer science , representation (politics) , machine learning , qualitative reasoning , mathematics , statistics , politics , political science , law , programming language
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.