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: A Machine Made this Book: Ten Sketches of Computer ScienceA Machine Made this Book: Ten Sketches of Computer Science
by - Coherent Press
Using examples from the publishing industry, Whitington introduces the fascinating discipline of Computer Science to the uninitiated. Chapters: Putting Marks on Paper; Letter Forms; Storing Words; Looking and Finding; Typing it In; Saving Space; etc.
(7509 views)
Book cover: Modern Information SystemsModern Information Systems
by - InTech
This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies.
(11711 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.
(7086 views)
Book cover: Computational and Inferential Thinking: The Foundations of Data ScienceComputational and Inferential Thinking: The Foundations of Data Science
by
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning ...
(10114 views)