Best Reference Books – Artificial Intelligence

We have compiled the list of Top 10 Best Reference Books on Artificial Intelligence subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Artificial Intelligence along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Artificial Intelligence subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Artificial Intelligence" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig

Book Review: The book offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. This book is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.The authors offer a free online course at Stanford University on artificial intelligence.This course provided by the author on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.”

2. “Artificial Intelligence: A New Sythesis” by Nils J Nilsson

“Artificial Intelligence: A New Synthesis” Book Review: This book covers all the major areas of AI, ranging from old concepts to new ideas. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are the primary topics analyzed in this volume. Machine learning methods are also extensively covered throughout the text with frequent use of examples and illustrative diagrams. Being the leading expert in the field of AI, the author successfully provides a unifying theme by an evolutionary approach, making it a perfect read for anyone who wishes to learn more about it.

3. “Artificial Intelligence” by Negnevitsky

Book Review: This book provides a practical and theoretical introduction to artificial intelligence that is less mathematically rigorous than other texts in the market. It also includes a wider coverage of expert systems, artificial neural networks, fuzzy systems and computation which shows how the systems work together. The author nicely explains the theories and principles thereby demonstrating how the systems are constructed. Throughout the book, no assumption is made on a particular programming language and all the mathematical prerequisites are kept minimum.

4. “Artificial Intelligence : A Modern Approach” by Norvig and Russell

“Artificial Intelligence: A Modern Approach” Book Review: This book offers a comprehensive introduction to the world of AI with detailed explanations for all of its major concepts. Starting with an introduction to AI, the text shifts to problem solving, knowledge, reasoning, and planning in the first half. The next half is dedicated to uncertain knowledge and reasoning, learning, communicating, presenting, and acting. Its lucid writing and all-encompassing content makes it a perfect read for beginners as well as advanced programmers.


“Introduction to Artificial Intelligence” Book Review: As its title suggests, this book introduces readers to the important aspects of AI and intelligent systems with vivid examples and case studies. The text begins with a brief introduction to AI – its history, future, applications, programming, etc. Then, it moves on to expert systems, neural networks, constraint programming and AI technologies like computer vision, natural language processing, pattern recognition, and speech recognition. Additionally, the exercises provided for practice make this a perfect read for professionals or B.E. / B. Tech students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students.

6. “Artificial Intelligence and Machine Learning” by Anand Hareendran S and Vinod Chandra S S

“Artificial Intelligence and Machine Learning” Book Review: This book aims to bridge the gap in knowledge of the tough areas in AI and Machine Learning through numerous case studies and solved examples. The text starts off with an introduction to AI, heuristics searching, and game playing followed by the basis of Machine Learning, its different types and the various rule-learning algorithms. The well explained algorithms and pseudo codes for each topic makes this the perfect read for undergraduate and postgraduate students of computer science and engineering.

7. “Artificial Intelligence” by Luger

“Artificial Intelligence” Book Review: This book offers a comprehensive introduction to the theory and practice of AI for modern applications. The topics explained in the book are – Intelligent Agents, Solving Problems by Searching, Informed Search Methods, Game Playing, Agents that Reason Logically, First-order Logic, Building a Knowledge Base, Inference in First-Order Logic, Logical Reasoning Systems, Practical Planning, Planning and Acting, Uncertainty, Probabilistic Reasoning Systems, Making Simple Decisions, Making Complex Decisions, Learning from Observations, Learning with Neural Networks, Reinforcement Learning, Knowledge in Learning, Agents that Communicate, Practical Communication in English, Perception, and Robotics. This book is suitable for computer professionals, cognitive scientists, linguists, and undergraduate or graduate students having courses on AI.

8. “Artificial Intelligence and Innovations 2007” by Pnevmatikakis

“Artificial Intelligence and Innovations 2007” Book Review: This volume focuses on providing insights on how AI can be implemented in real world applications. The scope of the book includes Theoretical Advances in AI, Intelligent Internet Systems, Emerging Technologies and Applications, Intelligent Systems in Electronic Healthcare, and AI in Business & Finance. It is a suitable read for students and professionals interested in this field.

9. “Artificial Neural Networks” by B Yegnanarayana

“Artificial Neural Networks” Book Review: This self-contained book highlights the need for new models of computing based on the fundamental principles of neural networks. The author provides detailed analysis of topics like basics of artificial neural networks, functional units of artificial neural networks for pattern recognition tasks, feed-forward & feedback neural networks, and architecture for complex pattern recognition tasks. The presentation of real-world applications as well as the emphasis on the pattern processing feature of neural networks makes this a go-to book for postgraduate and senior undergraduate students studying in any branch.

10. “Artificial Intelligence Techniques for Computer Graphics illustrated edition” by Plemenos

“Artificial Intelligence Techniques for Computer Graphics” Book Review: This book contains both invited and selected extended papers from the 2008 3IA Conference, covering the latest research in AI techniques for computer graphics. It also includes an introduction about Intelligent Computer Graphics areas where relevant intelligent techniques resolved key problems. This volume is intended for those who wish to use or invent intelligent techniques in computer graphics and, maybe, join as a contributor to the Intelligent Computer Graphics community.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Artificial Intelligence – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Artificial Intelligence" so that one can readily see the list of top books on "Artificial Intelligence" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Artificial Intelligence subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter