Expert Systems
Book Details:
• Author: Pankaj Sharma
• Publisher: S.K. Kataria & Sons
• Edition: 2012
• Language: English
• Number of Pages: 325
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789350140277
Description:
This book is a comprehensive introduction to expert systems and artificial intelligence concepts, specially designed for computer science and information technology students. Written by Pankaj Sharma, the book explains the principles, techniques, and applications of expert systems in a clear and systematic manner.
The book covers important topics including domain exploration, knowledge elicitation, learning and planning in expert systems, implementation tools such as Prolog and Lisp, natural language processing, search algorithms, knowledge representation, and reasoning techniques. It also includes glossary sections, model papers, and previous years’ question papers for academic preparation and self-assessment.
With well-organized content and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, technical learning, competitive examinations, and professional understanding in the field of artificial intelligence and expert systems.
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Description
Book Details:
• Author: Pankaj Sharma
• Publisher: S.K. Kataria & Sons
• Edition: 2012
• Language: English
• Number of Pages: 325
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789350140277
Description:
This book is a comprehensive introduction to expert systems and artificial intelligence concepts, specially designed for computer science and information technology students. Written by Pankaj Sharma, the book explains the principles, techniques, and applications of expert systems in a clear and systematic manner.
The book covers important topics including domain exploration, knowledge elicitation, learning and planning in expert systems, implementation tools such as Prolog and Lisp, natural language processing, search algorithms, knowledge representation, and reasoning techniques. It also includes glossary sections, model papers, and previous years’ question papers for academic preparation and self-assessment.
With well-organized content and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, technical learning, competitive examinations, and professional understanding in the field of artificial intelligence and expert systems.
