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  1. On measuring inconsistency in definite and indefinite databases with denial constraints.Francesco Parisi & John Grant - 2023 - Artificial Intelligence 318 (C):103884.
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  • Postulate satisfaction for inconsistency measures in monotonic logics and databases.John Grant - 2023 - Journal of Applied Non-Classical Logics 33 (3):537-560.
    1. Although the idea of measuring inconsistency was proposed in Grant (1978), the subject gained interest in 2002 with the publication of a proposal for measuring inconsistency in propositional kno...
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  • Measuring Inconsistency in Generalized Propositional Logic.John Grant - 2020 - Logica Universalis 14 (3):331-356.
    Consistency is one of the key concepts of logic; logicians have put a great deal of effort into proving the consistency of many logics. Understanding what causes inconsistency is also important; some logicians have developed paraconsistent logics that, unlike classical logics, allow some contradictions without making all formulas provable. Another direction of research studies inconsistency by measuring the amount of inconsistency of sets of formulas. While the initial attempt in 1978 was too ambitious in trying to do this for first-order (...)
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  • Measuring Inconsistency in Some Logics with Modal Operators.John Grant - 2020 - Studia Logica 109 (3):581-605.
    The first mention of the concept of an inconsistency measure for sets of formulas in first-order logic was given in 1978, but that paper presented only classifications for them. The first actual inconsistency measure with a numerical value was given in 2002 for sets of formulas in propositional logic. Since that time, researchers in logic and AI have developed a substantial theory of inconsistency measures. While this is an interesting topic from the point of view of logic, an important motivation (...)
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  • Measuring inconsistency in some branching time logics.John Grant - 2021 - Journal of Applied Non-Classical Logics 31 (2):85-107.
    Branching time logics have been studied in computer science since the 1980s primarily to model the tree of computations for discrete transition systems. Inconsistency measures for propositional log...
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  • Measuring Inconsistency in Some Logics with Tense Operators.John Grant - 2022 - Notre Dame Journal of Formal Logic 63 (3):415-440.
    This paper starts the systematic study of inconsistency measures for propositional logics enriched with operators involving time. We use Prior’s operators for tense logic: H, G, P, and F; however, we apply different semantics to them. We define two logics. The first one, ATPL, allows formulas with the application of any of the four operators any number of times to propositional logic formulas. The semantics is given in terms of TPL structures. We then show how to measure the inconsistency of (...)
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  • Measuring Inconsistency in Generalized Propositional Logic Extended with Nonunary Operators.John Grant - 2023 - Logica Universalis 17 (3):373-404.
    As consistency is such an important topic in logic, researchers have for a long time investigated how to attain and maintain it. But consistency can also be studied from the point of view of its opposite, inconsistency. The problem with inconsistency in classical logic is that by the principle of explosion a single inconsistency leads to triviality. Paraconsistent logics were introduced to get around this problem by defining logics in such a way that the explosion principle does not apply to (...)
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  • Logic, arguments and inconsistencies: an introduction to the festschrift in honour of Philippe Besnard.Sylvie Doutre, Andreas Herzig & Anthony Hunter - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):207-211.
    1. In this special issue of the Journal of Applied Non-Classical Logics, we aim to celebrate the recent retirement of Philippe Besnard as directeur de recherche in the Centre National de Recherche...
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  • Selecting accepted assertions in partially ordered inconsistent DL-Lite knowledge bases.Sihem Belabbes & Salem Benferhat - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):561-581.
    1. Real-world applications, such as monitoring urban wastewater networks, commonly process large volumes of multi-source, heterogeneous data to support reasoning, query answering and decision-makin...
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