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Journal of Philosophical Logic
Article . 1989 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
Data sources: zbMATH Open
DBLP
Article . 1989
Data sources: DBLP
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Bilattices and the theory of truth

Authors: Melvin Fitting;

Bilattices and the theory of truth

Abstract

A structure \(\) is a bilattice if i) \(\) and \(\) are both lattices; and ii) the meet and join operations of each lattice are monotone with respect to the order relation of the other lattice. Bilattices were introduced in computer science by \textit{M. L. Ginsberg} [Multi-valued logics, Proc. AAAI-86, Morgan Kaufmann, 243-247 (1986)]. This paper shows that bilattices are natural generalisations of structures to be found in the semantics of First Degree Entailment (due to Dunn and Belnap), in the semantics of languages with a partial truth predicate (due to Woodruff, Kripke et al.) and elsewhere. This allows many known features of these semantics to be seen as special cases of more general theorems, and also delivers some novel results, e.g., concerning the relationships between various fixed points.

Related Organizations
Keywords

fixed points, bilattice, partial truth predicate, semantics of First Degree Entailment, Other nonclassical logic, truth-value gaps, Logical aspects of lattices and related structures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Average
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