
Introduction to Artificial Intelligence
Book Details
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Publisher: S.K. Kataria & Sons
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Author: Gunjan Goswami
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Language: English
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Edition: Reprint 2013
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ISBN: 9789350141243
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Pages: 400
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Cover: Paperback
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Dimensions: 9.4 x 6.3 x 0.7 inches
About the Book
This English paperback book by Gunjan Goswami is a comprehensive academic resource for students studying artificial intelligence, computer science, machine learning fundamentals, and intelligent systems. The book covers important topics such as introduction to artificial intelligence, problems and problem spaces, search techniques, heuristic search, game playing, knowledge representation using predicate knowledge, reasoning under uncertainty, fuzzy logic, planning, learning, biological neurons, artificial neural networks, genetic algorithms, natural language processing, rule-based expert systems, robotics, Lisp, and Prolog. It also includes a question bank, questions with answers, model question papers, examination paper, and an index, making it helpful for classroom learning, self-study, revision, programming practice, and examination preparation. With its structured unit-wise coverage and exam-oriented approach, this book is suitable for computer science, information technology, engineering, MCA, BCA, diploma, and technical course students looking for a reliable reference on artificial intelligence concepts.
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Description
Book Details
-
Publisher: S.K. Kataria & Sons
-
Author: Gunjan Goswami
-
Language: English
-
Edition: Reprint 2013
-
ISBN: 9789350141243
-
Pages: 400
-
Cover: Paperback
-
Dimensions: 9.4 x 6.3 x 0.7 inches
About the Book
This English paperback book by Gunjan Goswami is a comprehensive academic resource for students studying artificial intelligence, computer science, machine learning fundamentals, and intelligent systems. The book covers important topics such as introduction to artificial intelligence, problems and problem spaces, search techniques, heuristic search, game playing, knowledge representation using predicate knowledge, reasoning under uncertainty, fuzzy logic, planning, learning, biological neurons, artificial neural networks, genetic algorithms, natural language processing, rule-based expert systems, robotics, Lisp, and Prolog. It also includes a question bank, questions with answers, model question papers, examination paper, and an index, making it helpful for classroom learning, self-study, revision, programming practice, and examination preparation. With its structured unit-wise coverage and exam-oriented approach, this book is suitable for computer science, information technology, engineering, MCA, BCA, diploma, and technical course students looking for a reliable reference on artificial intelligence concepts.


















