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An introduction to bipolar representations of information and preference
Author(s) -
Dubois Didier,
Prade Henri
Publication year - 2008
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20297
Subject(s) - bivariate analysis , computer science , preference , representation (politics) , argumentation theory , artificial intelligence , univariate , psychology , machine learning , natural language processing , mathematics , epistemology , statistics , multivariate statistics , philosophy , politics , political science , law
Abstract Bipolarity seems to pervade human understanding of information and preference, and bipolar representations look very useful in the development of intelligent technologies. Bipolarity refers to an explicit handling of positive and negative sides of information. Basic notions and background on bipolar representations are provided. Three forms of bipolarity are laid bare: symmetric univariate, dual bivariate, and asymmetric (or heterogeneous) bipolarity. They can be instrumental in the logical handling of incompleteness and inconsistency, rule representation and extraction, argumentation, learning, and decision analysis. © 2008 Wiley Periodicals, Inc.