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  1. Substructural epistemic logics.Igor Sedlár - 2015 - Journal of Applied Non-Classical Logics 25 (3):256-285.
    The article introduces substructural epistemic logics of belief supported by evidence. The logics combine normal modal epistemic logics with distributive substructural logics. Pieces of evidence are represented by points in substructural models and availability of evidence is modelled by a function on the point set. The main technical result is a general completeness theorem. Axiomatisations are provided by means of two-sorted Hilbert-style calculi. It is also shown that the framework presents a natural solution to the problem of logical omniscience.
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  • Quantified epistemic logics for reasoning about knowledge in multi-agent systems.F. Belardinelli & A. Lomuscio - 2009 - Artificial Intelligence 173 (9-10):982-1013.
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  • A computational model of belief.Aaron N. Kaplan & Lenhart K. Schubert - 2000 - Artificial Intelligence 120 (1):119-160.
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  • Approximate coherence-based reasoning.Frédéric Koriche - 2002 - Journal of Applied Non-Classical Logics 12 (2):239-258.
    It has long been recognized that the concept of inconsistency is a central part of commonsense reasoning. In this issue, a number of authors have explored the idea of reasoning with maximal consistent subsets of an inconsistent stratified knowledge base. This paradigm, often called “coherent-based reasoning", has resulted in some interesting proposals for para-consistent reasoning, non-monotonic reasoning, and argumentation systems. Unfortunately, coherent-based reasoning is computationally very expensive. This paper harnesses the approach of approximate entailment by Schaerf and Cadoli [SCH 95] (...)
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  • Limited reasoning in first-order knowledge bases with full introspection.Gerhard Lakemeyer - 1996 - Artificial Intelligence 84 (1-2):209-255.
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  • Relevance from an epistemic perspective.Gerhard Lakemeyer - 1997 - Artificial Intelligence 97 (1-2):137-167.
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