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Studies on Three-Valued Threshold Logic

Studies on Three-Valued Threshold Logic
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Sequent calculi for three-valued logics

Sequent calculi for three-valued logics
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A Three-Valued Fregean Quantification Logic

Journal of Philosophical Logic, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ma, Minghui, Lin, Yuanlei
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Three-valued logic

Philosophical Studies, 1957
Let us make up a logic in which there are three truth-values, T, F, and “M,” instead of the two truth-values T and F. And, instead of the usual rules, let us adopt the following: (a) If either component in a disjunction is true (“T”), the disjunction is true; if both components are false, the disjunction is false (“F”); and in all other cases ...
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Three-valued Brouwer-zadeh logic

International Journal of Theoretical Physics, 1993
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Three-Valued Logics for Inconsistency Handling

2002
While three-valued paraconsistent logic is a valuable framework for reasoning under inconsistency, the corresponding basic inference relation is too cautious and fails in discriminating in a fine-grained way the set of expected consequences of belief bases. To address both issues, we point out more refined inference relations.
Konieczny, Sébastien, Marquis, Pierre
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Three-valued nonmonotonic logic

[1993] Proceedings of the Twenty-Third International Symposium on Multiple-Valued Logic, 2002
The three-valued formulation of nonmonotonic logics is established. It is shown how to extend standard nonmonotonic logics to the three-valued case. It is also shown that a three-valued nonmonotonic logic called maximally ignorant (MI) logic can capture various major standard nonmonotonic logics as its special cases.
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Self-Extensional Three-Valued Paraconsistent Logics

Logica Universalis, 2017
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Neural three-valued-logic networks

International Joint Conference on Neural Networks, 1989
Summary form only given. The authors propose a novel neural network called neural-logic network which attempts to incorporate both the pattern processing and the logical reasoning capabilities within a single frame of neural network environment. This class of neural networks can model classical 2-valued Boolean logic effectively.
null Chan, null Hsu, null Brody, null Teh   +3 more
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