Prentice Hall Of India
|Number of Pages
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.
About The Author
RAJENDRA AKERKAR, Ph.D. (J. Kepler University, Linz, Austria), is Professor, Computer and Information Science, American University of Armenia, Armenia. He is also the Chairman of Technomathematics Research Foundation, Kolhapur, Maharashtra. He served with Chh. Sahu Central Institute of Business Education & Research Foundation, Kolhapur as Professor and Head of Computer Science Department. He has more than eight years of research experience in Artificial Intelligence Systems and has extensive experience in teaching in various universities in India and abroad. His areas of interest include Intelligent Information Systems, Data Mining, Machine Learning and Artificial Intelligence Systems, and Software Project Management. A member of Society of Industrial and Applied Mathematics (IAM), USA, a life member of Indian Science Congress and Indian Mathematical Society, Dr. Akerkar has contributed more than 50 research papers in reputed national and international journals, and is the author of many books.
Table Of Contents
1. Overview of Artificial Intelligence.
2. Symbolic Logic.
3. Knowledge Acquisition and Representation.
4. Reasoning and KRR Systems.
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.