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Article . 2001
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Journal of Logic and Computation
Article . 2001 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2002
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Article . 2020
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Nonmonotonic Logics and Semantics

Nonmonotonic logics and semantics
Authors: Daniel Lehmann 0001;

Nonmonotonic Logics and Semantics

Abstract

Tarski gave a general semantics for deductive reasoning: a formula a may be deduced from a set A of formulas iff a holds in all models in which each of the elements of A holds. A more liberal semantics has been considered: a formula a may be deduced from a set A of formulas iff a holds in all of the "preferred" models in which all the elements of A hold. Shoham proposed that the notion of "preferred" models be defined by a partial ordering on the models of the underlying language. A more general semantics is described in this paper, based on a set of natural properties of choice functions. This semantics is here shown to be equivalent to a semantics based on comparing the relative "importance" of sets of models, by what amounts to a qualitative probability measure. The consequence operations defined by the equivalent semantics are then characterized by a weakening of Tarski's properties in which the monotonicity requirement is replaced by three weaker conditions. Classical propositional connectives are characterized by natural introduction-elimination rules in a nonmonotonic setting. Even in the nonmonotonic setting, one obtains classical propositional logic, thus showing that monotonicity is not required to justify classical propositional connectives.

28 pages. Misprint corrected 15/04/02

Keywords

FOS: Computer and information sciences, Logic in artificial intelligence, Computer Science - Logic in Computer Science, I.2.3, nonmonotonic logics, Computer Science - Artificial Intelligence, weak monotony, quality measure, Mathematics - Logic, Other nonclassical logic, consequence operations, nonmonotonic reasoning, Logic in Computer Science (cs.LO), Artificial Intelligence (cs.AI), FOS: Mathematics, Logic (math.LO), generalization of Tarski's semantics

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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!
29
Top 10%
Top 10%
Top 10%
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bronze