Artificial Intelligence

Contents: Preface. 1. Introduction. 2. Logic and computation. 3. Heuristic search. 4. Search in game playing. 5. Artificial intelligence languages. 6. Knowledge representation. 7. Automated reasoning. 8. Probabilistic reasoning. 9. Knowledge acquisition: machine learning. 10. Multi-agent systems. 11. User interface. 12. Knowledge based systems. 13. Knowledge discovery: data and web mining. 14. Web technology, semantic web and knowledge management. 15. Natural language processing. 16. Development, selection and evaluation. 17. Software engineering and artificial intelligence. 18. Artificial intelligence in medicine. 19. Industrial automation: FMS and robotics. 20. Electronics communication. 21. Management and business intelligence.
Index.

This book has been written keeping in view the requirements of undergraduate and postgraduate students and research scholars in the area of computer science and engineering in particular, and other branches of engineering which deal with the study of AI such as electronics engineering, electrical engineering, industrial engineering (robotics and FMS). Besides the engineering students, the postgraduate students of computer science and computer applications and cognitive sciences researchers can equally benefit from this text.

The basic concepts of artificial intelligence, together with knowledge representation, reasoning methods, acquisition, management and distributed architecture, have been nicely and instructively described. The various application domains and disciplines in engineering, management, medicine which cover different aspects of design, assembly and monitoring, have been presented with utility aspects of AI concepts in logic and knowledge.

The book maintains a simple and comprehensible style of presentation for the different categories of readers such as students, researchers and professionals for their respective uses.