Inconsistency and redundancy checking for quasi-first-order-logic knowledge bases
International Journal of Expert Systems - Special issue on verification and validation (Part 2)
Managing inconsistent specifications: reasoning, analysis, and action
ACM Transactions on Software Engineering and Methodology (TOSEM)
ACM Computing Surveys (CSUR)
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
PREPARE: A Tool for Knowledge Base Verification
IEEE Transactions on Knowledge and Data Engineering
Making inconsistency respectable: a logical framework for inconsistency in reasoning
FAIR '91 Proceedings of the International Workshop on Fundamentals of Artificial Intelligence Research
Making Inconsistency Respectable: Part 2 - Meta-level handling of inconsistency
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Inconsistency in deception for defense
NSPW '06 Proceedings of the 2006 workshop on New security paradigms
Communications of the ACM
Truth Discovery with Multiple Conflicting Information Providers on the Web
IEEE Transactions on Knowledge and Data Engineering
The ROI of Software Dependability: The iDAVE Model
IEEE Software
Software Engineering
Reasoning with inconsistent ontologies
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Quantifying knowledge base inconsistency via fixpoint semantics
Transactions on computational science II
Introduction to inconsistency tolerance
Inconsistency Tolerance
Approaches to measuring inconsistent information
Inconsistency Tolerance
Inconsistency issues in spatial databases
Inconsistency Tolerance
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Inconsistency is commonplace in the real world and is an accepted part of life. Inconsistency is a multidimensional issue that includes: causes, types, interpretations, circumstances, desirability, detection approaches, handling strategies, and significance measures. In this paper, we focus our attention on the desirability dimension for inconsistency. It turns out that not all inconsistencies are bad, some are even desirable. We summarize three lists of inconsistent cases in terms of their desirability using the metaphor of "the good, the bad, and the ugly." We then offer some guidelines on how to discern the desirability of inconsistency. The results in the paper will help pave the way for developing some practical desirability measures for inconsistency.