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ARTIFICIAL INTELLIGENCE, 2ND EDITION
Publisher:
CENGAGE INDIA
| Author:
Saroj Kaushik
| Language:
English
| Format:
Paperback
₹799 ₹679
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ISBN:
SKU
9789355730428
Category Computer Engineering/IT Engineering
Category: Computer Engineering/IT Engineering
Page Extent:
712
This second edition of Artificial
Intelligence is designed to provide comprehensive material for undergraduate
and graduate students on the vast and fast-growing subject of Artificial
Intelligence. This book has been written keeping in mind the syllabi designed
for courses on AI in various technical institutions and universities in India
and abroad. It can serve as a textbook for one full-semester course on AI. It
will also provide study material to computer professionals who wish to expand
their knowledge on AI.
The book is divided into 6 units with each unit containing related
chapters. There are overall 16 chapters. Compared with the syllabi of UG
programmes in Indian universities, there is about 40% extra material that
might be useful for advanced AI courses. The main topics covered in the book
include problem-solving using intelligent searches and planning, knowledge
representation techniques, game playing, first-order predicate logic and
programming language PROLOG (programming in logic), uncertainty handling,
expert systems, knowledge representation, etc. The language PROLOG
(declarative language) has been used throughout the book which I am very
passionate about as it helps user to code programs for problems using AI
techniques with a clear understanding of underline and natural thought
processes of human ways of solving problems.
In addition, some advanced topics such as machine learning, fuzzy logic,
artificial neural networks, evolutionary computing, and natural language
processing have been included in detail. Each chapter in the book has been
carefully developed with the help of several pedagogical features. A huge
effort has been put in to explain every concept discussed in the book with
the help of examples as far as possible. Pseudo-algorithms for various
methods and techniques are included throughout the text to increase the
comprehensibility of the topics and demonstrate their applications.
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Description
This second edition of Artificial
Intelligence is designed to provide comprehensive material for undergraduate
and graduate students on the vast and fast-growing subject of Artificial
Intelligence. This book has been written keeping in mind the syllabi designed
for courses on AI in various technical institutions and universities in India
and abroad. It can serve as a textbook for one full-semester course on AI. It
will also provide study material to computer professionals who wish to expand
their knowledge on AI.
The book is divided into 6 units with each unit containing related
chapters. There are overall 16 chapters. Compared with the syllabi of UG
programmes in Indian universities, there is about 40% extra material that
might be useful for advanced AI courses. The main topics covered in the book
include problem-solving using intelligent searches and planning, knowledge
representation techniques, game playing, first-order predicate logic and
programming language PROLOG (programming in logic), uncertainty handling,
expert systems, knowledge representation, etc. The language PROLOG
(declarative language) has been used throughout the book which I am very
passionate about as it helps user to code programs for problems using AI
techniques with a clear understanding of underline and natural thought
processes of human ways of solving problems.
In addition, some advanced topics such as machine learning, fuzzy logic,
artificial neural networks, evolutionary computing, and natural language
processing have been included in detail. Each chapter in the book has been
carefully developed with the help of several pedagogical features. A huge
effort has been put in to explain every concept discussed in the book with
the help of examples as far as possible. Pseudo-algorithms for various
methods and techniques are included throughout the text to increase the
comprehensibility of the topics and demonstrate their applications.
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