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Nonmonotonic Logics [electronic resource] : Basic Concepts, Results, and Techniques /

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 1187Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997Edition: 1st ed. 1997Description: IX, 246 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540497363
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Preferential structures and related logics -- Defaults as generalized quantifiers -- Logic and analysis -- Theory revision and probability -- Structured reasoning.
In: Springer Nature eBookSummary: Nonmonotonic logics were created as an abstraction of some types of common sense reasoning, analogous to the way classical logic serves to formalize ideal reasoning about mathematical objects. These logics are nonmonotonic in the sense that enlarging the set of axioms does not necessarily imply an enlargement of the set of formulas deducible from these axioms. Such situations arise naturally, for example, in the use of information of different degrees of reliability. This book emphasizes basic concepts by outlining connections between different formalisms of nonmonotonic logic, and gives a coherent presentation of recent research results and reasoning techniques. It provides a self-contained state-of-the-art survey of the area addressing researchers in AI lo.
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Preferential structures and related logics -- Defaults as generalized quantifiers -- Logic and analysis -- Theory revision and probability -- Structured reasoning.

Nonmonotonic logics were created as an abstraction of some types of common sense reasoning, analogous to the way classical logic serves to formalize ideal reasoning about mathematical objects. These logics are nonmonotonic in the sense that enlarging the set of axioms does not necessarily imply an enlargement of the set of formulas deducible from these axioms. Such situations arise naturally, for example, in the use of information of different degrees of reliability. This book emphasizes basic concepts by outlining connections between different formalisms of nonmonotonic logic, and gives a coherent presentation of recent research results and reasoning techniques. It provides a self-contained state-of-the-art survey of the area addressing researchers in AI lo.

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