Artificial Intelligence
McGraw Hill Higher Education (Publisher)
2nd Edition
Published on 1. March 1991
Book
Paperback/Softback
640 pages
978-0-07-100894-5 (ISBN)
Description
The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge, it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
London
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Edition type
Revised edition
Illustrations
200ill.
Dimensions
Height: 238 mm
Width: 167 mm
Thickness: 38 mm
Weight
1097 gr
ISBN-13
978-0-07-100894-5 (9780071008945)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. What Is Artificial Intelligence? 2. Problems, Problem Spaces and Search 3. Heuristic Search Techniques 4. Knowledge Representation Issues 5. Using Predicate Logic 6. Uncertain Reasoning 7. Weak Slot-and-Filler Structures 8. Strong Slot-and-Filler Structures 9. Knowledge Representation Summary 10. Game Playing 11. Planning 12. Large Knowledge-Based Systems 13. Understanding 14. Natural Language Processing 15. Learning 16. Connectionist Models 17. Perception and Action 18. Conclusion