Nonmonotonic Logics : Basic Concepts, Results, and Techniques / by Karl Schlechta.

Format:

Book

Author/Creator:

Schlechta, Karl, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 1187.

Lecture Notes in Artificial Intelligence ; 1187

Language:

English

Subjects (All):

Artificial intelligence.

Logic, Symbolic and mathematical.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Local Subjects:

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Physical Description:

1 online resource (IX, 246 pages).

Edition:

First edition 1997.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.

System Details:

text file PDF

Summary:

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.

Contents:

Preferential structures and related logics

Defaults as generalized quantifiers

Logic and analysis

Theory revision and probability

Structured reasoning.

Other Format:

Printed edition:

ISBN:

978-3-540-49736-3

9783540497363

Access Restriction:

Restricted for use by site license.