The book“ArtificialIntelligence” isprimarily intended to serve as a textbook for undergraduate & postgraduateengineering students. The book covers syllabus prescribed by most Indianuniversities and institutes.
This book providesknowledge in a simple and systematic manner.
What Readers can Expect from this Book
The book is written asa concise textbook with some noticeable features.
(a) Unified theme of presentation: The book presents an integrated approach bydemonstrating their inter-relationship between chapters of diverse thoughts.The Readers who do not have enough background can take advantage and are notmisled with the concept. Readers will enjoy the book especially for itstotality with an ultimate aim to build intelligent machines.
(b) Comprehensive coverage of the mathematical models: The book provides a comprehensivecoverage of the mathematical models on artificial intelligence. At graduatelevel students face much difficulty in studying from research papers andjournals. The book bridges the potential gap between the textbooks and researchpapers.
(c) Concise & independent chapters: Readers can easily follow the bookbecause it is written in a concise manner. Many chapters contain plenty ofexamples to illustrate well-selected materials. This can help the reader tofocus on the materials of particular interest. The author has tried to makeeach chapter independent (although chapters or sections may cite each other).
(d) Line Diagrams: The book includes around 190 line diagrams togive the readers a better insight to the subject. Readers will enjoy the bookfor they directly get a deeper view of the subject through diagrams with aminimal 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 eachchapter.
How to Use This Book:
The book has beenwritten keeping the interest of students in mind and integrates the underlyingtechnical aspects and subsequent research aspects. Students should read fromthe 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-examinationquestions and do other assignments given by the instructor. Do not be satisfiedwith what these techniques are, but always ask yourself how and whythese techniques are useful for decision support.
For graduate students, this book serves as a road map fortheir 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 extendthe work. You may not be able do much in a regular semester, but you mayelaborate on your findings for your thesis or graduate project. (if you are sointerested).
