Best Reference Books – Artificial Intelligence and Expert Systems

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We have compiled a list of Best Reference Books on Artificial Intelligence and Expert Systems Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Artificial Intelligence and Expert Systems.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and 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 books; the table serves as a ready reckoner list of these best books.

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1. “Artificial Intelligence” by Elaine Rich and Kevin Knight
2. “Introduction to Artificial Intelligence and Expert Systems” by Dan W Patterson

“Introduction to Artificial Intelligence and Expert Systems” Book Review: This textbook provides a comprehensive coverage of the important aspects of artificial intelligence and expert systems. The book is organized into five parts based on a detailed analysis of knowledge: Introduction to Artificial Intelligence, Knowledge representation, Knowledge Organization and Manipulation, Perception, Communication and Expert Systems, and Knowledge Acquisition. The textbook contains substantial discussions on Knowledge Representation, NLP, Computer Vision, Neural Networks, Expert Systems, and Memory Organization etc.

3. “Principles of Artificial Intelligence” by Nils J Nilsson

“Principles of Artificial Intelligence” Book Review: This textbook bridges the gap between theory and practice. The textbook sheds light on more practical and advanced aspects of artificial intelligence such as rule-based systems, robot problem solving systems and structured-object representation. The coverage of the book includes Production Systems and AI, Search Strategies for AI Production Systems, The Predicate Calculus in AI, Resolution Refutation Systems, Basic Plan Generating Systems and Advanced Plan Generating Systems etc. The textbook includes brainstorming exercises and references to some of the most important literature in the field.

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4. “Artificial Intelligence in Business, Science and Industry” by Wendy B Ranch
5. “Foundations of Artificial Intelligence and Expert Systems” by Janakiraman

“Foundations of Artificial Intelligence and Expert Systems” Book Review: This book provides exposition on various facets of artificial intelligence in an easy to understand format. The coverage of the book sweeps through a broad range of concepts, focusing on the basics and building through the concepts. The various chapters present in the book are: Concept of Artificial Intelligence, An overview of Japanese Fifth Generation Computer Systems, The Search Process, Game Playing, Logic, Robotics, Knowledge Representation, Non-Monotonic, Probabilistic, Certainty and Fuzzy-Based Reasoning Systems, Natural Language Processing, Computer Vision. It also discusses topics such as Successful Expert Systems, Introduction to Expert Systems, Knowledge Engineering, Logic Programming and PROLOG, Artificial Intelligence in Industry, Artificial Intelligence Machines etc. The book can serve as a relevant reference to graduate and postgraduate students.

6. “Artificial Intelligence: A Guide to Intelligent Systems” by Dr Michael Negnevitsky

“Artificial Intelligence: A Guide to Intelligent Systems” Book Review: This textbook demonstrates the ideas behind intelligent systems in a simple and straightforward manner. It covers rule-based expert systems, fuzzy expert systems, frame based expert systems, artificial neural networks, evolutionary computations, hybrid intelligent systems and knowledge engineering. The book is composed of a total of nine chapters. Some of the chapters present in the book are: Uncertainty Management in Rule-based Expert Systems, Knowledge Engineering and Data Mining, Frame-Based Expert Systems etc. The book can benefit undergraduate students in computer science engineering and related fields.

7. “Introduction to Artificial Intelligence” by Patterson

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“Introduction to Artificial Intelligence” Book Review: This textbook provides a comprehensive coverage of the important aspects of artificial intelligence and expert systems. The book is organized into five parts based on a detailed analysis of knowledge: Introduction to Artificial Intelligence, Knowledge representation, Knowledge Organization and Manipulation, Perception, Communication and Expert Systems, and Knowledge Acquisition. The textbook contains substantial discussions on Knowledge Representation, NLP, Computer Vision, Neural Networks, Expert Systems, and Memory Organization etc.

8. “Artificial Intelligence and Expert Systems” by GATE ACADEMY PUBLICATION
9. “Artificial Intelligence: A Beginner’s Guide (Beginner’s Guides)” by Blay Whitby

“Artificial Intelligence: A Beginner’s Guide (Beginner’s Guides)” Book Review: This textbook intends to provide a basic introduction to the concepts of Artificial Intelligence. The readers do not require any previous knowledge to understand the concepts covered in the textbook. The textbook is meant for a general audience. Therefore, the content of the book is neither hardcore technical nor scholarly. The book is organized into six chapters. The chapters present in the book are: What is AI? AI at Work, AI and Biology, Some Challenges, AI diffuses and Present and Future Trends. The book can provide an interesting read to those who have no idea what AI means but are willingly to dwell in the world of AI.

10. “Artificial Intelligence” by Ela Kumar

“Artificial Intelligence” Book Review: This textbook attempts to introduce readers to the various concepts of Artificial Intelligence in a simpler manner with the help of real world problem applications. The textbook consists of a total of twelve chapters. The coverage of the book includes Expert Systems, Applications of AI, Machine Learning, Planning and Understanding, Natural Language Processing, Reasoning with Uncertainty, Programming Languages etc. The textbook incorporates a number of solved examples at various points in a chapter, making the concepts easier to understand and apply. Exercises are also provided at the end of every chapter for practice.

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People who are searching for Free downloads of books and free pdf copies of these books – “Artificial Intelligence” by Elaine Rich and Kevin Knight, “Introduction to Artificial Intelligence and Expert Systems” by Dan W Patterson, “Principles of Artificial Intelligence” by Nils J Nilsson, “Artificial Intelligence in Business, Science and Industry” by Wendy B Ranch, “Foundations of Artificial Intelligence and Expert Systems” by Janakiraman, “Artificial Intelligence: A Guide to Intelligent Systems” by Dr Michael Negnevitsky, “Introduction to Artificial Intelligence” by Patterson, “Artificial Intelligence and Expert Systems” by GATE ACADEMY PUBLICATION, “Artificial Intelligence: A Beginner’s Guide (Beginner’s Guides)” by Blay Whitby, “Artificial Intelligence” by Ela Kumar – 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 and Expert Systems” so that one can readily see the list of top books on “Artificial Intelligence and Expert Systems” 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 and Expert Systems Subject, please let us know.

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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