Knowledge Representation and Reasoning / Edition 1

Knowledge Representation and Reasoning / Edition 1

by Ronald Brachman, Hector Levesque
     
 

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ISBN-10: 1558609326

ISBN-13: 9781558609327

Pub. Date: 05/19/2004

Publisher: Elsevier Science

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented

Overview

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed.

This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs.

*Authors are well-recognized experts in the field who have applied the techniques to real-world problems
* Presents the core ideas of KR&R in a simple straight forward approach, independent of the quirks of research systems
*Offers the first true synthesis of the field in over a decade

Product Details

ISBN-13:
9781558609327
Publisher:
Elsevier Science
Publication date:
05/19/2004
Series:
Morgan Kaufmann Series in Artificial Intelligence Series
Edition description:
New Edition
Pages:
381
Product dimensions:
7.68(w) x 9.50(h) x 1.11(d)

Table of Contents

1 Introduction
• 2 The Language of First-Order Logic *3 Expressing Knowledge
• 4 Resolution
• 5 Horn Logic
• 6 Procedural Control of Reasoning
• 7 Rules in Production Systems
• 8 Object-Oriented Representation
• 9 Structured Descriptions
• 10 Inheritance
• 11 Numerical Uncertainty *12 Defaults *13 Abductive Reasoning *14 Actions
• 15 Planning *16 A Knowledge Representation Tradeoff
• Bibliography
• Index

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