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This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent 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, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book.
In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced.
The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence.
Key Features
• Exposes the readers to real-world applications of AI.
• Concepts are duly supported by examples and cases.
• Provides appendices on PROLOG, LISP and AI Tools.
• Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems.
• Exercises provided will help readers apply what they have learned. |
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Preamble
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. Intelligent Agents
13. Planning
14. Soft Computing
15. Robotics
16. Machine Learning
17. Intelligent Systems
18. Applications of Artificial Intelligence
Appendices
A: Projects
B: PROLOG
C: LISP
D: AI Tools
Glossary
Bibliography
Index
Author Details
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| Author Name |
AKERKAR, RAJENDRA |
| About Author |
RAJENDRA AKERKAR, PhD, is Professor of Information Technology at Western Norway Research Institute, Norway. He has over 23 years of research and teaching experience spanning different universities in Asia, Europe and North America. His recent research focuses on application of big data methods to real-world challenges, information mining for emergency management, and social media analysis in a wide set of semantic dimensions. He has co-authored 13 books and around 100 research papers. He has also co-edited 8 volumes of international conferences/workshops and e-books. He is also the Chairman of Technomathematics Research Foundation, Kolhapur, India. He serves as the scientific committee member of many reputed international conferences and also as the editorial board member of international journals in computer science, big data, semantic technologies, and bio-inspired computing. He is also an IT expert advisor for many government/non-government agencies, including the European Commission. He has been actively involved in several international ICT initiatives and R&D projects for more than 20 years. |
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