
The Essence of Artificial Intelligence
The Essence of Artificial Intelligence
Alison Cawsey(Author)
Pearson (Publisher)
Published on 21. July 1997
Book
Paperback/Softback
200 pages
978-0-13-571779-0 (ISBN)
Description
The Prentice Hall Essence of Computing Series provides a concise, practical and uniform introduction to the core components of an undergraduate computer science degree. Acknowledging the recent changes within Higher Education, this approach uses a variety of pedagogical tools - case studies, worked examples and self-test questions, to underpin the student's learning.
The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.
Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.
The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.
Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 10 mm
Weight
308 gr
ISBN-13
978-0-13-571779-0 (9780135717790)
Schweitzer Classification
Content
1. Introduction
2. Knowledge Representation and Inference
3. Expert Systems
4. Using Search in Problem Solving
5. Natural Language Processing
6. Vision
7. Machine Learning and Neural Networks
8. Agents and Robots
Appendices
AI resources on the web
Glossary
2. Knowledge Representation and Inference
3. Expert Systems
4. Using Search in Problem Solving
5. Natural Language Processing
6. Vision
7. Machine Learning and Neural Networks
8. Agents and Robots
Appendices
AI resources on the web
Glossary