The book “Artificial Intelligence” is primarily intended to serve as a textbook for undergraduate & postgraduate engineering students. The book covers syllabus prescribed by most Indian universities and institutes.

This book provides knowledge in a simple and systematic manner.

The book is written as a concise textbook with some noticeable features.

(a) Unified theme of presentation: The book presents an integrated approach by demonstrating their inter-relationship between chapters of diverse thoughts. The Readers who do not have enough background can take advantage and are not misled with the concept. Readers will enjoy the book especially for its totality with an ultimate aim to build intelligent machines.

(b) Comprehensive coverage of the mathematical models: The book provides a comprehensive coverage of the mathematical models on artificial intelligence. At graduate level students face much difficulty in studying from research papers and journals. The book bridges the potential gap between the textbooks and research papers.

(c) Concise & independent chapters: Readers can easily follow the book because it is written in a concise manner. Many chapters contain plenty of examples to illustrate well-selected materials. This can help the reader to focus on the materials of particular interest. The author has tried to make each chapter independent (although chapters or sections may cite each other).

(d) Line Diagrams: The book includes around 190 line diagrams to give the readers a better insight to the subject. Readers will enjoy the book for they directly get a deeper view of the subject through diagrams with a minimal reading of the text.

(e) Examples: The book contains solved example problems, review questions, and exercise problems. A list of review questions is attached with each chapter.

The book has been written keeping the interest of students in mind and integrates the underlying technical aspects and subsequent research aspects. Students should read from the first chapter to the last chapter, then pick whatever you like to read asper your syllabus. You should make a serious effort to answer the self-examination questions and do other assignments given by the instructor. Do not be satisfied with what
these techniques are, but always ask yourself how and why these techniques are useful for decision support.

For graduate students, this book serves as a road map for their own research. With the advice you should read number of technical papers, present your comments, and consider how to apply the theory or how to extend the work. You may not be able do much in a regular semester, but you may elaborate on your findings for your thesis or graduate project. (if you are so interested).