ARTIFICIAL INTELLIGENCE
Rajendra Akerkar, American University of Armenia
ISBN-978-81-203-2864-8
Adopted in Many University courses
Softcover
364 Pages
© 2005 PHI Learning
This text is available for full Preview at Google Library.
This
comprehensive text acquaints the readers with the important aspects of
artificial intelligence (AI) and expert (knowledge-based) systems and
guides them towards a better understanding of the subject.
The text begins with a brief introduction to artificial intelligence including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, and uncertainty. The text also clearly explains AI technologies such as computer vision, natural language processing, and speech recognition. Finally, it concludes with discussions on expert systems, neural networks, constraint programming, and case-based reasoning.
Primarily designed for the postgraduate students of computer science and engineering, master of computer application (MCA), and information technology (IT), this easy-to-read book will also serve as a useful text for the students of B.E./B.Tech. offering courses on artificial intelligence and expert systems.
The text begins with a brief introduction to artificial intelligence including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, and uncertainty. The text also clearly explains AI technologies such as computer vision, natural language processing, and speech recognition. Finally, it concludes with discussions on expert systems, neural networks, constraint programming, and case-based reasoning.
Primarily designed for the postgraduate students of computer science and engineering, master of computer application (MCA), and information technology (IT), this easy-to-read book will also serve as a useful text for the students of B.E./B.Tech. offering courses on artificial intelligence and expert systems.
Key Features
- Solved Examples in each chapter
- Exercises at the end of each chapter
- Suggested Projects
Table of Contents
Preface.
Bibliography
Index
Preface.
1. Overview of Artificial Intelligence.
2. Symbolic Logic.
3. Knowledge Acquisition and Representation.
4. Reasoning and KRR Systems.
5. Uncertainty.
6. Search Techniques.
7. AI Technologies.
8. Expert Systems.
9. Neural Networks.
10. Case-Based Reasoning.
11. Constraint Programming.
12. Applications of Artificial Intelligence.
Appendixes A: Projects.
B: PROLOG.
C: LISP.
2. Symbolic Logic.
3. Knowledge Acquisition and Representation.
4. Reasoning and KRR Systems.
5. Uncertainty.
6. Search Techniques.
7. AI Technologies.
8. Expert Systems.
9. Neural Networks.
10. Case-Based Reasoning.
11. Constraint Programming.
12. Applications of Artificial Intelligence.
Appendixes A: Projects.
B: PROLOG.
C: LISP.
Bibliography
Index