Nonmonotonic Logics: Basic Concepts, Results, and Techniques
โ Scribed by Karl Schlechta (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1997
- Tongue
- English
- Leaves
- 248
- Series
- Lecture Notes in Computer Science 1187 : Lecture Notes in Artificial Intelligence
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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
โฆ Table of Contents
Introduction....Pages 1-42
Preferential structures and related logics....Pages 43-104
Defaults as generalized quantifiers....Pages 105-123
Logic and analysis....Pages 125-145
Theory revision and probability....Pages 147-157
Structured reasoning....Pages 159-231
โฆ Subjects
Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages
๐ SIMILAR VOLUMES
<p><p>The aim of this book is to concisely present fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. The book contains ten chapters covering various topics ranging from similarity and special types of matrices to Schur complements and matrix normality. Each chapt
<p><p>The aim of this book is to concisely present fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. The book contains ten chapters covering various topics ranging from similarity and special types of matrices to Schur complements and matrix normality. Each chapt