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Tableaux for Free Logics with Descriptions

Authors: Andrzej Indrzejczak; Michal Zawidzki;

Tableaux for Free Logics with Descriptions

Abstract

The paper provides a tableau approach to definite descriptions. We focus on several formalizations of the so-called minimal free description theory (MFD) usually formulated axiomatically in the setting of free logic. We consider five analytic tableau systems corresponding to different kinds of free logic, including the logic of definedness applied in computer science and constructive mathematics for dealing with partial functions (here called negative quasi-free logic). The tableau systems formalise MFD based on PFL (positive free logic), NFL (negative free logic), PQFL and NQFL (the quasi-free counterparts of the former ones). Also the logic NQFLm is taken into account, which is equivalent to NQFL, but whose language does not comprise the existence predicate. It is shown that all tableaux are sound and complete with respect to the semantics of these logics.

This is a full version of a conference paper that will appear in the proceedings of the 30th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX)

Country
United Kingdom
Related Organizations
Keywords

FOS: Computer and information sciences, F.4.1; I.2.3; I.2.4, Computer Science - Logic in Computer Science, I.2.3, I.2.4, 03B22, 03B35 (Primary) 03B10, 03A05 (Secondary), F.4.1, Logic in Computer Science (cs.LO)

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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!
8
Top 10%
Average
Top 10%
Green