Paper Info
Title
Measuring the good and the bad in inconsistent information
Abstract
There is interest in artificial intelligence for principled techniques to analyze inconsistent information. This stems from the recognition that the dichotomy between consistent and inconsistent sets of formulae that comes from classical logics is not sufficient for describing inconsistent information. We review some existing proposals and make new proposals for measures of inconsistency and measures of information, and then prove that they are all pairwise incompatible. This shows that the notion of inconsistency is a multi-dimensional concept where different measures provide different insights. We then explore relationships between measures of inconsistency and measures of information in terms of the trade-offs they identify when using them to guide resolution of inconsistency.
Year
DOI
Venue
2011
10.5591/978-1-57735-516-8/IJCAI11-438
IJCAI
Keywords
Field
DocType
classical logic,artificial intelligence,different measure,multi-dimensional concept,inconsistent information,different insight,existing proposal,principled technique,new proposal,inconsistent set
Pairwise comparison,Computer science,Artificial intelligence,Form of the Good,Machine learning
Conference
Citations 
PageRank 
References 
16
0.74
8
Authors
2
Name
Order
Citations
PageRank
John Grant11025.89
Anthony Hunter23196204.65