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Abstract: Most known computational approaches to reasoning have problems when facing inconsistency, so they assume that a given logical system is consistent. Unfortunately, the latter is difficult to verify and very often is not true. It may happen that addition of data to a large system makes it inconsistent, and hence destroys the vast amount of meaningful information. We present a logic, called APC (annotated predicate calculus; cf. annotated logic programs of [3], that treats any set of clauses,... (Update)
Context of citations to this paper: More
.... 1991; Batens, 1998] Others were based on preferences between the truth values that are assigned to formulas (see e.g. [Kifer and Lozinskii, 1992; Arieli and Avron, 2000a] Preferential systems were also used for providing semantics for nonmonotonic consequence relations...
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BibTeX entry: (Update)
M. Kifer and E.L. Lozinskii. A logic for reasoning with inconsistency. Journal of Automated Reasoning, 9(2):179--215, November 1992. http://citeseer.ist.psu.edu/kifer92logic.html More
@article{ kifer92logic,
author = "Michael Kifer and Eliezer L. Lozinskii",
title = "A Logic for Reasoning with Inconsistency",
journal = "Journal of Automated Reasoning",
volume = "9",
number = "2",
pages = "179--215",
year = "1992",
url = "citeseer.ist.psu.edu/kifer92logic.html" }
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