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Archive for Mathematical Logic
Article . 1997 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1997
Data sources: DBLP
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Nonmonotonic rule systems with recursive sets of restraints

Authors: V. Wiktor Marek; Anil Nerode; Jeffrey B. Remmel;

Nonmonotonic rule systems with recursive sets of restraints

Abstract

Nonmonotonic rule systems are introduced to capture the common features of several nonmonotonic logics as, e.g., auto-epistemic logic, default logic and general logic programs. A nonmonotonic rule system is a pair \((U,N)\) where \(U\) is a set and \(N\) is a collection of rules. Each rule \(r \in N \) consists of a set of premises (\( \subseteq U\)), a set of restraints (\(\subseteq U\)) and a conclusion \( c \in U\). If the set of restraints is empty, we have an ordinary monotonic (Tarskian) rule system. Otherwise, the system is called nonmonotonic and the restraints are used to control the application of the rules in the following sense: Given a set \(S \subseteq U\), a rule \(r\) can be applied if all its premises can be derived, but in addition, none of the restraints occur in \(S\). A derivation from an initial set \(I\) conforming to this principle is called an \(S\)-proof from \(I\). If \(S\) equals the set of \(S\)-provable elements, then \(S\) is called an extension of \((U,N)\). The paper concentrates on recursion-theoretic characterizations of the family \({\mathcal E}((U,N))\) of extensions of a nonmonotonic rule system \((U,N)\), especially for so-called extended recursive nonmonotonic rule systems, where the sets of restraints can be infinite, but recursive subsets of \(U\), and there is a uniform enumeration of codes for the rules \(r \in N\).

Related Organizations
Keywords

Logic in artificial intelligence, Applications of computability and recursion theory, nonmonotonic logic, Other nonclassical logic, nonmonotonic rule systems

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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!
2
Average
Average
Average
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