Logo

Handbook of Knowledge Representation

Large book cover: Handbook of Knowledge Representation

Handbook of Knowledge Representation
by

Publisher: Elsevier Science
ISBN/ASIN: 0444522115
ISBN-13: 9780444522115
Number of pages: 1035

Description:
Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.

Home page url

Download or read it online for free here:
Download link
(11MB, PDF)

Similar books

Book cover: Computer Science from the Bottom UpComputer Science from the Bottom Up
by - bottomupcs.com
Computer Science from the Bottom Up: a free, online book designed to teach computer science from the bottom end up. Topics covered include binary and binary logic, operating systems internals, toolchain fundamentals and system library fundamentals.
(11239 views)
Book cover: Essentials of Theoretical Computer ScienceEssentials of Theoretical Computer Science
by - University of Kentucky
This text is a broad introduction to the field, presented from a computer science viewpoint for computer scientists. This was designed to be used in a one-semester course for senior computer science majors or first year masters students.
(10160 views)
Book cover: Insight into Theoretical and Applied InformaticsInsight into Theoretical and Applied Informatics
by - De Gruyter Open
The objective of this book is to provide the reader with all the necessary elements to get him or her started in the modern field of informatics and to allow him or her to become aware of the relationship between key areas of computer science.
(2417 views)
Book cover: Introduction to High-Performance Scientific ComputingIntroduction to High-Performance Scientific Computing
by - University of Texas
A computational scientist needs knowledge of several aspects of numerical analysis and discrete mathematics. This text covers: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications.
(10001 views)