61 Best Books on Artificial Intelligence

We have compiled a list of the Best Reference Books on Artificial Intelligence, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Artificial Intelligence Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Artificial Intelligence below.

  1. Artificial Intelligence Books for Beginners
  2. Advanced Artificial Intelligence Books
  3. Books on Artificial Intelligence Modern Approach
  4. Books on Artificial Intelligence and Machine Learning
  5. Books on Artificial Intelligence and Agents
  6. Artificial Intelligence Books for Various Streams
  7. Books on AI Systems
  8. Books on Artificial Intelligence and Neural Networks
  9. Books on Artificial Intelligence and Robotics
  10. Books on Artificial Intelligence in Process Engineering
  11. Books on Knowledge Representation
  12. Artificial Intelligence Resources
  13. Additional Recommendations

1. Artificial Intelligence Books for Beginners


1."INTRO. TO ARTIFICIAL INTELLIGENCE" by AKERKAR RAJENDRA
“Introduction to Artificial Intelligence” book provides readers with a thorough understanding of AI and intelligent systems through engaging examples and case studies. It starts by offering a concise overview of AI, covering its history, future prospects, applications, and programming aspects. The text then delves into various topics including expert systems, neural networks, constraint programming, and cutting-edge AI technologies such as computer vision, natural language processing, pattern recognition, and speech recognition. With a range of exercises provided for practice, this book is ideal for professionals, as well as students pursuing B.E./B.Tech in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. in Computer Science, and MCA programs.

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2."Fundamentals of Artificial Intelligence: An Advanced Course (Lecture Notes in Computer Science)" by Wolfgang Bibel and G Huet
“Fundamentals of Artificial Intelligence: An Advanced Course: 232 (Lecture Notes in Computer Science)” book consolidates the content of all seven lectures from the inaugural Advanced Course in Artificial Intelligence. It serves as a valuable resource for gaining a solid understanding of the fundamentals of AI. The book is structured to cover both the conceptual foundations and practical aspects of knowledge processing. Richly illustrated and supported by numerous examples, it elucidates various forms of knowledge processing, including common sense reasoning. Furthermore, the book provides concise explanations of logical and functional programming, along with an overview of the semantics associated with both functional and parallel programming paradigms.

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3."Artificial Intelligence: A Beginner's Guide (Beginner's Guides)" by Blay Whitby
The book ‘Artificial Intelligence: A Beginner’s Guide’ takes readers on a fascinating journey through the world of computers and the human mind. It covers a wide range of topics, from the use of nanotechnology to create insect-like robots to the remarkable advancements in surgical computers. The book also explores the intriguing concept of computers that can learn on their own. It offers insights into how AI is shaping our future and its impact on our daily lives. Additionally, the book delves into the major controversies surrounding artificial intelligence, making it a valuable resource for AI and cognitive science enthusiasts.

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4."Introduction to Artificial Intelligence" by Patterson
The textbook ‘Introduction to Artificial Intelligence’ offers a thorough introduction to the key concepts and principles of artificial intelligence and expert systems. It is divided into five parts, each focusing on different aspects of knowledge and AI: Introduction to Artificial Intelligence, Knowledge representation, Knowledge Organization and Manipulation, Perception, Communication and Expert Systems, and Knowledge Acquisition. The book covers important topics such as Knowledge Representation, Natural Language Processing (NLP), Computer Vision, Neural Networks, Expert Systems, and Memory Organization. It provides detailed discussions and explanations to help readers understand and explore these subjects.

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5."Principles of Artificial Intelligence" by Nils J Nilsson
“Principles of Artificial Intelligence” textbook serves as a bridge between theory and practice, delving into practical and advanced facets of artificial intelligence. It explores rule-based systems, robot problem-solving systems, and structured-object representation, offering valuable insights. The coverage of the book encompasses various topics including 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. To enhance understanding, the textbook incorporates brainstorming exercises and references to significant literature in the field.

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6."Artificial Intelligence" by Negnevitsky
The book “Artificial Intelligence” offers a comprehensive and accessible introduction to artificial intelligence, balancing practical applications with theoretical foundations. It takes a less mathematically rigorous approach compared to other texts in the market, making it more approachable for readers. The coverage extends to expert systems, artificial neural networks, fuzzy systems, and computation, showcasing the interconnectedness of these systems. The author adeptly explains the underlying theories and principles, illustrating the construction of these systems. Importantly, the book does not assume any prior knowledge of a specific programming language and keeps mathematical prerequisites to a minimum.

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2. Advanced Artificial Intelligence Books


1."Artificial Intelligence and Innovations 2007" by Pnevmatikakis
The volume ‘Artificial Intelligence and Innovations 2007’ is all about showcasing practical applications of AI in various fields. The book covers a wide range of topics, including Theoretical Advances in AI, Intelligent Internet Systems, Emerging Technologies and Applications, Intelligent Systems in Electronic Healthcare, and AI in Business & Finance. It provides valuable insights on how AI can be implemented in real-world scenarios. This book is suitable for both students and professionals who are interested in learning about the practical applications of artificial intelligence.

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2."Artificial Intelligence Techniques for Computer Graphics illustrated edition" by Plemenos
“Artificial Intelligence Techniques for Computer Graphics” book comprises a collection of invited and selected extended papers from the 2008 3IA Conference, focusing on the cutting-edge research in AI techniques for computer graphics. Alongside, it provides an introduction to the field of Intelligent Computer Graphics, highlighting how intelligent techniques have successfully addressed significant challenges. Designed for individuals interested in utilizing or developing intelligent techniques in computer graphics, this volume serves as a valuable resource to delve into the subject and potentially contribute to the Intelligent Computer Graphics community.

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3."Artificial Intelligence" by Ela Kumar
“Artificial Intelligence” textbook aims to provide readers with a simplified introduction to the diverse concepts of Artificial Intelligence, employing real-world problem applications to enhance comprehension. With a total of twelve chapters, the book covers a wide range of topics including Expert Systems, AI Applications, Machine Learning, Planning and Understanding, Natural Language Processing, Reasoning with Uncertainty, and Programming Languages. To facilitate understanding and practical application, the textbook includes numerous solved examples throughout each chapter. Additionally, exercises are provided at the end of every chapter for further practice and reinforcement of the concepts learned.

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4."Artificial Intelligence" by Winston
“Artificial Intelligence” book is mainly designed for postgraduate students in computer engineering and serves as a valuable reference for professionals in the field. With detailed discussions on artificial intelligence and machine learning, the book delves into the reasoning and perception capabilities of computers. It explores the significant advancements achieved in machine learning and introduces emerging concepts such as big data and parallel processing. The book includes theorem proofs to enhance understanding and offers practical case studies to simplify complex concepts.

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3. Books on Artificial Intelligence Modern Approach


1."Artificial Intelligence : A Modern Approach" by Norvig and Russell
“Artificial Intelligence: A Modern Approach” book provides a thorough and comprehensive introduction to the field of AI, covering all major concepts in detail. Beginning with an overview of AI, the text then explores topics such as problem solving, knowledge representation, reasoning, and planning in the first half. The second half focuses on uncertain knowledge and reasoning, learning, communication, presentation, and action. With its clear and accessible writing style, as well as its comprehensive coverage, this book is suitable for both beginners and advanced programmers seeking to expand their knowledge in AI.

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2."Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science)" by Toshinori Munakata
“Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science)” book covers the five key areas of computer science: neural networks, genetic algorithms, fuzzy systems, rough sets, and chaos. It offers a comprehensive perspective on soft computing, highlighting the significance of these topics in real-world applications. The book presents the fundamental principles, concepts, and technologies in the field of new artificial intelligence. It is a valuable resource for undergraduate and graduate students studying intelligent computing, soft computing, neural networks, evolutionary computing, and fuzzy systems. Additionally, researchers in various related fields will find this book beneficial to their work.

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3."Artificial Intelligence: A New Synthesis" by Nils J Nilsson
“Artificial Intelligence: A New Synthesis” book explores the breadth of artificial intelligence, encompassing both established concepts and emerging ideas. It delves into various key areas, including neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding. The book places significant emphasis on machine learning techniques, illustrating them with numerous examples and helpful diagrams. With the author’s expertise in the field, the book unifies these diverse topics through an evolutionary approach, making it an ideal resource for anyone seeking to deepen their understanding of artificial intelligence.

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4."Artificial Intelligence" by Luger
The book ‘Artificial Intelligence’ provides a comprehensive introduction to the theory and practical applications of AI. It covers a wide range of topics, including Intelligent Agents, Problem Solving, Game Playing, Logical Reasoning, Knowledge Base, Planning, Uncertainty, Probabilistic Reasoning, Decision Making, Learning, Communication, Perception, and Robotics. It is a valuable resource for computer professionals, cognitive scientists, linguists, as well as undergraduate and graduate students studying AI. The book aims to help readers understand and apply AI concepts in modern applications.

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4. Books on Artificial Intelligence and Machine Learning


1."Artificial Intelligence and Machine Learning" by Anand Hareendran S and Vinod Chandra S S
“Artificial Intelligence and Machine Learning” book serves as a valuable resource for filling the knowledge gaps in challenging areas of AI and Machine Learning, utilizing a wide range of case studies and solved examples. It begins with an introduction to AI, heuristics searching, and game playing, providing a solid foundation. The book then delves into the fundamentals of Machine Learning, including its different types and various rule-learning algorithms. Each topic is thoroughly explained, accompanied by well-defined algorithms and pseudo code, making it an ideal choice for undergraduate and postgraduate students studying computer science and engineering.

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2."Artificial Intelligence and Machine Learning" by Vinod Chandra S
“Artificial Intelligence and Machine Learning” book provides a comprehensive understanding of Artificial Intelligence and its practical applications in our daily lives. It serves as an introductory guide for beginners interested in this field. The book begins by laying the groundwork of artificial intelligence and its applications in the realm of computing. It also explores the implementation of AI in trading and financial investing, artificial intelligent software, and sentence diagramming. The book addresses the challenges encountered in the domain and showcases examples of AI achieving near-human levels of performance. Furthermore, it emphasizes the distinction between human response to stimuli and that of artificial intelligence machines.

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3."Artificial Intelligence: Artificial Intelligence for Humans (Artificial Intelligence, Machine learning)" by Jon Gabriel
“Artificial Intelligence: Artificial Intelligence for Humans (Artificial Intelligence, Machine learning)” book serves as an extensive resource on artificial intelligence, offering a comprehensive understanding of both the fundamentals and advanced concepts of AI. Readers will gain insights into how AI is utilized in virtual help desks, enabling companies to provide immediate answers to their clients. It delves into various applications of AI, including trading and financial investing, artificial intelligent software, and sentence diagramming. Moreover, the book examines the distinctions between human responses to stimuli and those exhibited by artificial intelligence machines. Whether for beginners or experienced engineers seeking to deepen their expertise, this book provides valuable knowledge and insights into the field of artificial intelligence.

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5. Books on Artificial Intelligence and Agents


1."A first course in Artificial Intelligence and Agent Technology" by Sridhar Seshadri
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2."Agents and Artificial Intelligence" by Joaquim Filipe and Ana Fred
“Agents and artificial intelligence” book is divided into two parts: artificial intelligence and agents. The first part covers topics such as the probabilistic connection between cross-validation and Vapnik bounds, simulating collective decisional problems with a time-varying model, collision avoidance using partially controlled Markov decision processes, reasoning about interest-based preferences, and the advantages of information granulation in clustering algorithms, among others. The second part explores topics such as improving the file-sharing experience with incentive-based coalitions, stability and optimality in matching problems with weighted preferences, a conditional game-theoretic approach to cooperative multi-agent systems design, and defining virtual organizations through a formal approach, among others. This comprehensive book provides in-depth insights into artificial intelligence and agent-based systems.

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3."Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications (Advances in Intelligent Information Technologies)" by Vijayan Sugumaran
“Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications (Advances in Intelligent Information Technologies)” book consists of a collection of research articles focusing on artificial intelligence. It delves into various topics including information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms. With its diverse coverage, this book serves as a valuable resource for enhancing productivity in various roles, such as assisting human operators and facilitating autonomous decision-making in complex systems.

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6. Artificial Intelligence Books for Various Streams


1."Artificial Intelligence in Business, Science and Industry" by Wendy B Ranch
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2."Artificial Intelligence in Chemical Engineering" by T E Quantrille and Y A Liu
“Artificial Intelligence in Chemical Engineering” book focuses on the practical implementation of AI programming, principles, and theories specifically in the domain of chemical engineering. It caters to students and practitioners of chemical engineering, as well as computer scientists with an interest in the subject matter. The book explores the computational methods utilized for engineering tasks in the context of artificial intelligence concepts. It begins by highlighting the key features of artificial intelligent systems and proceeds to elucidate their applications in the field of chemical engineering. The final section of the book covers Artificial Neural Networks (ANNs). Throughout the text, readers will find numerous illustrations, as well as a range of simple and complex exercises. Additionally, the book includes a computer diskette that offers an illustrated case study.

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3."Artificial Intelligence in Design ’98" by Asko Riitahuhta and Fay Sudweeks
“Artificial Intelligence in Design ’98” book is specifically written for postgraduate students of computer engineering and can also serve as a reference for working professionals. It focuses on the development of computational models based on artificial intelligence principles. The book explores the impact of new approaches in artificial intelligence on design research and discusses the incorporation of agent-based systems and design systems. It also covers topics such as cognitive science and its integration with artificial intelligence. The book includes theorem proofs and practical case studies to facilitate understanding of the concepts.

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4."Optimization and Artificial Intelligence in Civil and Structural Engineering" by Topping
“Optimization and Artificial Intelligence in Civil and Structural Engineering” book is targeted towards students and professionals in the fields of structural analysis and design, water resources engineering, geotechnical engineering, and transportation and environmental engineering. It covers a wide range of topics including engineering design, optimization, optimal structural design, design of industrial buildings, integrated design, water resources, hazardous material management, and stream quality modeling. The book provides a comprehensive overview of knowledge-based systems, artificial intelligence techniques, and the challenges faced in this field. It also highlights the latest advancements in optimization and artificial intelligence in relation to these topics.

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5."Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence" by by Calvin Wong and Z X Guo
“Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence” book serves as a valuable resource for professionals in the apparel manufacturing industry. It offers insights into the critical decision-making aspects within the apparel supply chain. The book covers the fundamentals of artificial intelligence techniques specifically tailored for apparel management. It explores the application of neural networks in determining optimal locations for apparel manufacturing plants. Additionally, it delves into key decision points throughout the apparel supply chain. The book provides a comprehensive understanding of artificial intelligence techniques, including neural networks, genetic algorithms, and fuzzy set theory. These techniques are explored in the context of intelligent sales forecasting and intelligent product cross-selling systems.

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6."Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence" by Richard Yonck
“Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence” Book Review: The book primarily explores the realm of emotions and feelings in a future where artificial emotional intelligence plays a significant role. It is organized into three sections, each addressing distinct aspects of this subject. The first section, titled “The Road to Affective Computing,” provides an introduction to the emotional landscape, tracing its origins and exploring the initial development of emotionally aware affective computers and social robots. The second section, “The Rise of the Emotional Machines,” delves into the practical applications of these techniques and the benefits they offer. Finally, the third section, “The Future of Artificial Emotional Intelligence,” examines the societal impact of these technological advancements. It delves into topics such as consciousness, super-intelligence, and their influence on the relationship between humans and machines. By delving into these areas, the book offers valuable insights into the future implications of artificial emotional intelligence.

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7."Artificial Intelligence in Theory and Practice III" by Max Bramer
“Artificial Intelligence in Theory and Practice III” Book Review: This is an insightful book written by Max Bramer. It delves into the realm of artificial intelligence, covering a wide range of topics and practical applications. The chapters in the book explore various aspects of AI, including machine learning, natural language processing, intelligent agents, expert systems, computer vision, and data mining. With its comprehensive coverage and practical approach, this book serves as a valuable resource for students, researchers, and professionals interested in advancing their knowledge and understanding of artificial intelligence.

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8."KI 2001: Advances in Artificial Intelligence: Joint German/Austrian Conference on AI, Vienna, Austria" by Franz Baader and Gerhard Brewka
“KI 2001: Advances in Artificial Intelligence: Joint German/Austrian Conference on AI, Vienna, Austria” Book Review: This book consists of contributions from the joint German/Austrian conference on artificial intelligence, KI 2001. The contents of the book are categorized as follows: it includes 2 contributions by invited speakers from the conference, 29 accepted technical papers (including 5 application papers and 24 papers on the foundations of AI), and 4 contributions from participants of the industrial day.

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9."Artificial Intelligence: Its Scope and Limits (Studies in Cognitive Systems)" by J H Fetzer
“Artificial Intelligence: Its Scope and Limits (Studies in Cognitive Systems)” Book Review: This book is designed for postgraduate students studying computer engineering and can be a helpful reference for professionals in the field. It explores various studies focused on information and data processing systems. The book covers topics such as cognitive psychology and sociobiology in the context of artificial intelligence. It also delves into the theoretical and epistemological aspects of these domains. The symbol-system hypothesis proposed by Simon and Newell is discussed in detail. The book provides theorem proofs and presents practical case studies to aid in understanding the concepts.

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10."Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks" by Hiram Eredín Ponce Espinosa
“Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks” Book Review: This book introduces the principles of Artificial Hydrocarbon Networks (AHNs) and their corresponding computer algorithms. It is highly recommended for researchers and students in the field of computational intelligence. The book starts by providing an overview of various algorithms employed in approximation problems. It then delves into the creation and characterization of artificial organic networks, with a specific focus on AHNs. The concepts of organic networks are explained using graph theory as a foundation. Additionally, the book explores various aspects such as approximation, interference, clustering, control, classification, and audio-signal filtering within the context of AHNs. Finally, the book concludes with a discussion on potential future developments in the field of AHNs.

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7. Books on AI Systems

 
1."Artificial Intelligence" by Elaine Rich and Kevin Knight
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2."Introduction to Artificial Intelligence and Expert Systems" by Dan W Patterson
“Introduction to Artificial Intelligence and Expert Systems” Book Review: This textbook offers a thorough exploration of key elements in artificial intelligence and expert systems. It is structured into five parts, meticulously designed based on a comprehensive knowledge analysis. The sections cover essential topics including Introduction to Artificial Intelligence, Knowledge Representation, Knowledge Organization and Manipulation, Perception, Communication and Expert Systems, and Knowledge Acquisition. Throughout the textbook, you will find extensive discussions on various subjects such as Knowledge Representation, Natural Language Processing (NLP), Computer Vision, Neural Networks, Expert Systems, and Memory Organization.

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3."Foundations of Artificial Intelligence and Expert Systems" by Janakiraman
“Foundations of Artificial Intelligence and Expert Systems” Book Review: This book offers a clear and accessible exposition of various aspects of artificial intelligence. It covers a wide range of concepts, starting from the basics and progressively building upon them. The chapters in the book include an introduction to 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, and Computer Vision. Additionally, it delves into topics such as Successful Expert Systems, Introduction to Expert Systems, Knowledge Engineering, Logic Programming and PROLOG, Artificial Intelligence in Industry, and Artificial Intelligence Machines. This book serves as a valuable reference for both graduate and postgraduate students in the field.

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4."Artificial Intelligence: A Guide to Intelligent Systems" by Dr Michael Negnevitsky
“Artificial Intelligence: A Guide to Intelligent Systems” Book Review: This textbook presents the concepts of intelligent systems in a clear and accessible manner. It explores various types of intelligent systems, including rule-based expert systems, fuzzy expert systems, frame-based expert systems, artificial neural networks, evolutionary computations, hybrid intelligent systems, and knowledge engineering. With a total of nine chapters, the book covers important topics such as Uncertainty Management in Rule-based Expert Systems, Knowledge Engineering and Data Mining, and Frame-Based Expert Systems. It is designed to be beneficial for undergraduate students in computer science engineering and related disciplines.

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5."Artificial Intelligence and Expert Systems" by GATE ACADEMY PUBLICATION
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6."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 offers a fundamental introduction to the concepts of Artificial Intelligence, making it accessible to readers without prior knowledge in the field. It caters to a general audience, providing content that is neither excessively technical nor scholarly. The book is divided into six chapters, covering topics such as the definition of AI, its applications in various fields, the connection between AI and biology, existing challenges, the widespread influence of AI, and current and future trends. With its engaging approach, the book serves as an interesting read for individuals who are new to AI but curious to explore its field.

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8. Books on Artificial Intelligence and Neural Networks

 
1."Make Your Own Neural Network: A Gentle Journey Through the Mathematics of Neural Networks, and Making Your Own Using the Python Computer Language" by Tariq Rashid
“Make Your Own Neural Network: A Gentle Journey Through the Mathematics of Neural Networks, and Making Your Own Using the Python Computer Language” Book Review: This book offers an extensive exploration of the mathematical principles behind neural networks, coupled with practical guidance on implementing them using the Python programming language. Beginning with the fundamentals, it progressively delves into the inner workings of neural networks. The initial section introduces the mathematical concepts underlying these networks, while the following part provides a user-friendly introduction to the Python programming language. Readers gain insight into constructing a neural network capable of recognizing handwritten numbers. The third section builds upon the practical knowledge presented in the previous part. The inclusion of diagrams and mathematical explanations facilitates a concise comprehension of the concepts. This book is particularly beneficial for individuals new to neural networks, providing a valuable resource for beginners.

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2."Artificial Intelligence and Neural Networks" by Dr K Uma Rao
“Artificial Intelligence and Neural Networks” Book Review: This book provides an introduction to Artificial Intelligence (AI) and Artificial Neural Networks (ANNs). The first five chapters cover AI, discussing topics such as its history, applications, intelligent systems modeling, and the PEAS framework. The subsequent six chapters focus on neural networks, including the evolution of ANNs, the McCulloch Pitts Model, learning paradigms, and perception. The book incorporates diagrams to aid in understanding the subject matter. It is a valuable resource for undergraduate students in electrical science seeking to learn about AI and ANNs.

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3."Artificial Intelligence and Neural Networks" by F Acar Savaci
“Artificial Intelligence and Neural Networks” Book Review: This book comprises the comprehensive proceedings of the 14th Turkish Symposium on Artificial Intelligence and Neural Networks. It offers lecture notes covering various topics in computer science. The book features 26 revised full papers encompassing a range of subjects, including robotics, image processing, classification, learning theory, and support vector machines. Additionally, it explores fuzzy neural networks, fuzzy logic, machine learning, engineering applications, and neural network architecture. With its diverse content, the book serves as a valuable resource for specialists in the field of artificial intelligence and neural networks.

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4."VLSI for Artificial Intelligence and Neural Networks" by Jose G Delgado-Frias and W R Moore
“VLSI for Artificial Intelligence and Neural Networks” Book Review: This book features a compilation of papers presented at the International Workshop on VLSI for Artificial Intelligence and Neural Networks. It sheds light on the growing complexity of algorithms in artificial intelligence and neural networks. The book delves into the expanding range of applications for these systems, while also discussing the specific requirements of artificial intelligence, including symbolic manipulation, knowledge representation, non-deterministic computations, and dynamic resource allocation. Furthermore, it explores the constraints and demands placed on computer architectures to support these applications. By providing practical insights into artificial intelligence systems, this book serves as a valuable resource for students and practicing engineers in the fields of software engineering and computer science.

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5."Applied Artificial Intelligence: A compact introduction to neural networks and deep learning" by Wolfgang Beer
“Applied Artificial Intelligence: A compact introduction to neural networks and deep learning” Book Review: This book provides a comprehensive overview of Artificial Neural Networks (ANN) and their implementation in Python. It guides the reader through step-by-step examples to understand how neural networks can be built and applied to solve non-linear problems. The book also explores the training process using sample datasets and showcases the capability of neural networks to tackle complex tasks. Additionally, it delves into machine learning models with Google TensorFlow and offers practical examples and case studies. Suitable for students and practicing engineers in software engineering, Python, and computer science.

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6."Neural Networks: Artificial Intelligence and Industrial Applications" by Bert Kappen and Stan Gielen
“Neural Networks: Artificial Intelligence and Industrial Applications” Book Review: This book compiles papers presented at the Third Annual SNN Symposium on Neural Networks. It is divided into two sections: the first provides an overview of recent advancements in neurobiology, cognitive sciences, robotics, vision, and data modeling. The second section showcases practical neural network solutions for real-world industrial challenges, such as process control, finance, and marketing. By offering a comprehensive view of the state of the art in 1995, this book serves as a valuable resource for postgraduate students, academic researchers, and professionals in the industry. Through insightful case studies, the book aims to provide a practical understanding of neural networks.

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7."Neural Networks and Artificial Intelligence" by Vladimir Golovko and Akira Imada
“Neural Networks and Artificial Intelligence” Book Review: This book comprises the proceedings of the 8th International Conference on Neural Networks and Artificial Intelligence. It features nineteen papers that offer a comprehensive overview of various topics. The papers are categorized into sections covering diverse subjects such as forest resource management, artificial intelligence using neural networks, optimization, and classification. Additionally, topics like fuzzy approaches, machine intelligence, analytical approaches, mobile robots, and real-world applications are thoroughly explored. The inclusion of examples and illustrations enhances the practical understanding of the subject matter. This book serves as a valuable resource for software engineers, researchers, and students in the field of computer science engineering.

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8."Artificial Neural Networks: An Introduction to ANN Theory and Practice" by P J Braspenning and F Thuijsman
“Artificial Neural Networks: An Introduction to ANN Theory and Practice” Book Review: This book compiles tutorial lectures from an industrial-focused school on Artificial Neural Networks. It covers the major ANN architectures and their applications in empirical data analysis, particularly when other methods prove inadequate. The book offers a detailed exploration of the underlying mathematical principles, providing both theoretical insight and practical experience. Real-world applications in control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM are discussed. With its blend of theory and practical examples, this book is beneficial for researchers, graduate students, and practicing engineers in computer science and software engineering.

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9."Artificial Neural Networks (Methods in Molecular Biology)" by Hugh Cartwright
“Artificial Neural Networks (Methods in Molecular Biology)” Book Review: This book offers a practical perspective on the application of ANNs in the field of biological sciences and related areas. The chapters delve into various topics, such as the analysis of intracellular sorting information, prediction of bacterial community behavior, and biometric authentication. Additionally, the book explores studies on Tuberculosis, gene signatures for breast cancer classification, metabolite identification using mass spectrometry, visual navigation, and computer diagnosis. Each chapter provides an introduction to its respective topic, along with application details and troubleshooting tips. With its focus on practical applications, this book serves as a valuable resource for scientists studying artificial neural networks.

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10."Intelligent Engineering Systems through Artificial Neural Networks" by Cihan H Dagli and Anna L Buczak
“Intelligent Engineering Systems through Artificial Neural Networks” Book Review: This book comprises the proceedings of the Annie Conference held in November 2006 in St. Louis, Missouri. The papers featured in the book introduce the concept of smart engineering system design and explore its applications in various domains, including data mining, neural networks, complex networks, evolutionary programming, adaptive control, pattern recognition, and fuzzy logic.

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9. Books on Artificial Intelligence and Robotics

 
1."Robotics and Artificial Intelligence" by Michael Brady
“Robotics and Artificial Intelligence” Book Review: This book comprises a compilation of papers focused on Robotics and Artificial Intelligence, including topics presented at the NATO advanced study institute program. Through various examples, readers gain insights into sensing techniques and educational methodologies in these fields. The Introduction and Overview chapter, titled “State-of-the-Art and Predictions for Artificial Intelligence and Robotics,” offers an in-depth understanding of the subject matter. The book is valuable for practitioners in artificial intelligence and software engineering, as well as students and researchers exploring the realms of artificial intelligence and robotics.

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2."Forbidden Gates: How Genetics, Robotics, Artificial Intelligence, Synthetic Biology, Nanotechnology, and Human Enhancement Herald, The Dawn of the Techno-Dimensional" by Thomas Horn
“Forbidden Gates: How Genetics, Robotics, Artificial Intelligence, Synthetic Biology, Nanotechnology, and Human Enhancement Herald, The Dawn of the Techno-Dimensional” Book Review: The book provides a description of traditional, tried, and advanced methods for overcoming darkness. It also offers an overview of scientific, technological, and philosophical advances including cybernetics, bio-engineering, nanotechnology, and more. Focusing on the concept of transhumanism, the book explores the potential future dominated by superior humans created through rewriting DNA and merging human and animal characteristics. It is a detailed exploration of this concept with illustrations. The book is intended for readers interested in scientific fiction and those curious about technological advancements.

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3."Computational Intelligence, Control and Computer Vision in Robotics and Automation" by Bidyadhar Subudhi
“Computational Intelligence, Control and Computer Vision in Robotics and Automation” Book Review: This book showcases the latest advancements in robotics research, highlighting state-of-the-art technologies. It features a range of recent investigations on topics such as navigation, motion planning of mobile robots, and more. The book also explores soft computing approaches for controlling single and multiple rigid robots. Drawing from research conducted in various countries including India, USA, Canada, United Kingdom, Mexico, and Malaysia, it offers a diverse perspective on robotics and automation. Furthermore, the book introduces new directions in robotics applications, such as electrical power line maintenance. With its blend of practical insights and theoretical foundations, this book is valuable for researchers and practitioners in the fields of robotics and artificial intelligence.

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4."Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)" by Bruno Siciliano
“Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)” Book Review: This textbook serves as a valuable resource for understanding robot manipulators. It covers a wide range of topics, including visual control, motion planning, and mobile robots. The book provides essential knowledge about the foundational aspects of robotics, such as modeling, planning, and control. It explores important concepts like kinematics and trajectory planning, as well as the technological components involved, such as actuators and sensors. Throughout the book, practical skills are emphasized, with numerous examples and case studies provided. Each chapter includes exercises to test understanding, and an electronic solutions manual with MATLAB code is available. This book is designed for graduate students and professionals in the field of robotics.

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5."Hand book of Artificial Intelligence Vol. I" by A E Feigenbaum and A Barr
“Hand book of Artificial Intelligence Vol. I” Book Review: This book offers a comprehensive introduction to artificial intelligence, covering its key principles and expanding applications. It discusses essential aspects such as parsing, grammars, and search methods. The book explores various topics, including problem representation, search methods, and sample search programs. It provides a survey of representation techniques and schemes, along with an examination of understanding natural languages, machine translation, grammars, parsing, test generation, and natural language processing systems. With a focus on fundamental concepts, this book serves as a valuable resource for those interested in gaining a solid understanding of artificial intelligence.

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6."Assistive Technology and Artificial Intelligence: Applications in Robotics, User Interfaces and Natural Language Processing (Lecture Notes in Computer Science)" by Vibhu O Mittal
“Assistive Technology and Artificial Intelligence: Applications in Robotics, User Interfaces and Natural Language Processing (Lecture Notes in Computer Science)” Book Review: This book comprises a compilation of research papers presented at the AAAI workshops, focusing on the field of assistive technology. It highlights the advancements and applications of AI-driven technology aimed at extending users’ cognitive and sensory abilities and overcoming motor disabilities. The book addresses a range of topics related to assistive technology, including natural language processing, planning, robotics, user interface design, computer vision, and learning. Through these research papers, readers gain practical insights into these areas. The book is a valuable resource for graduate students, researchers, and practicing engineers working in the field of artificial intelligence.

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7."Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms (Mechanical Engineering Series)" by Jorge Angeles
“Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms (Mechanical Engineering Series)” Book Review: This book offers a comprehensive exploration of various types of robots, including remote manipulators, multifingered hands, walking machines, flight simulators, and machine tools. It begins by providing a review of the fundamental principles of rigid-body mechanics and linear transformations, enabling readers to establish a solid foundation in the subject. Throughout the book, exercises are strategically placed within chapters and at the end of each chapter to allow readers to assess their comprehension and apply their knowledge. With its practical focus, this book is valuable for practicing engineers, as well as undergraduate and graduate students seeking a thorough understanding of robotics.

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8."McGraw-Hill Illustrated Encyclopedia of Robotics and Artificial Intelligence" by Stan Gibilisco
“McGraw-Hill Illustrated Encyclopedia of Robotics and Artificial Intelligence” Book Review: This book is a comprehensive study of robotics and artificial intelligence (AI). It contains 500 articles organized alphabetically for easy reference. The articles cover various topics, including robots and automation, robots and AI in medicine, and military use of robots. It also explores technical subjects like robotics and safety, robotics and security, and reliability factors in robotic space probes. The book features illustrations, pictures, and diagrams to enhance understanding and encourage self-study. It is a valuable resource for researchers, practitioners, and students interested in robotics and artificial intelligence.

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10. Books on Artificial Intelligence in Process Engineering

 
1."Problem Solving Methods in Artificial Intelligence" by N L Nilsson
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2."Introduction to Artificial Neural Systems" by J Zuarda
“Introduction to Artificial Neural Systems” Book Review: The book discusses the algorithms of Artificial Neural Networks with a focus on their stability. It is highly recommended for neural engineers who are interested in this field. The initial chapters provide a solid foundation of the fundamentals of neural networks. As the book progresses, it delves into more advanced topics, including software applications. The inclusion of illustrations and pseudocodes throughout the book enhances the clarity and understanding of the subject matter. The book is written in a clear and accessible manner.

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3."Intelligent Systems in Process Engineering" by G Stephanopoulos and V Venkatasubramanian
“Intelligent Systems in Process Engineering” Book Review: The book combines the principles of Artificial Intelligence with those of operations research, estimation and control theory, and statistics. It presents these concepts through the use of various models, each tailored to address specific engineering problems such as product design, process design, process operations monitoring, planning, scheduling, and control. Through these models, key AI concepts are explored, including modeling languages, automation in design, symbolic and quantitative reasoning, inductive and deductive reasoning. The book also covers additional topics such as searching spaces of discrete solutions, non-monotonic reasoning, analogical learning, empirical learning through neural networks, reasoning in time, and logic in numerical computing.

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4."Artificial Intelligence: Building Intelligent Systems" by Joshi P
“Artificial Intelligence: Building Intelligent Systems” Book Review: This book focuses on Artificial Intelligence and is organized into 21 chapters. It provides a comprehensive understanding of concepts related to intelligent systems, covering various fundamental aspects. Readers will gain insights into problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, and planning. The book also explains key concepts such as machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, and neural network-based learning. It is specifically designed to be beneficial for undergraduate and postgraduate students studying computer science, engineering, and information technology.

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10. Books on Knowledge Representation

 
1."Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)" by Ronald Brachman and Hector Levesque Dr
“Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)” Book Review: This book is specifically written for postgraduate students in the field of computer engineering, but it can also serve as a valuable reference for working professionals. It delves into the concepts of knowledge representation and artificial representation, providing a comprehensive understanding of building intelligent systems using a top-down approach. The book covers topics such as symbolic representation of knowledge, automated reasoning procedures, information retrieval, database management, and object-oriented systems. In order to enhance understanding, the book includes numerous theorem proofs and practical case studies, making the concepts more accessible and applicable.

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2."Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems (Studies in Fuzziness and Soft Computing)" by Lech Polkowski and Shusaku Tsumoto
“Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems (Studies in Fuzziness and Soft Computing)” Book Review: This book targets postgraduate students of computer engineering and can serve as a useful reference for working professionals. It focuses on the rough set approach to reasoning when dealing with insufficient and incomplete data. The book explores knowledge representation under different constraints, such as discernibility or similarity of objects. It covers essential topics including reducts, dependencies, and association rules. Theoretical notions, as well as heuristic and algorithmic tools for knowledge discovery, are reviewed. The book includes theorem proofs and practical case studies to aid in understanding the concepts effectively.

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3."Inheritance Hierarchies in Knowledge Representation and Programming Languages" by Maurizio Lenzerini and Daniele Nardi
“Inheritance Hierarchies in Knowledge Representation and Programming Languages” Book Review: This is a comprehensive book written by Maurizio Lenzerini and Daniele Nardi. The book explores the concept of inheritance hierarchies in the fields of knowledge representation and programming languages. It delves into various topics, including inheritance mechanisms, object-oriented programming, semantic networks, and ontologies. The authors provide detailed explanations and examples to illustrate the principles and applications of inheritance hierarchies. This book is highly recommended for researchers, professionals, and students seeking a deeper understanding of knowledge representation and programming languages.

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12. Artificial Intelligence Resources

1. Artificial Intelligence MCQs
2. Artificial Intelligence Tests

We have put a lot of effort into researching the best books on Artificial Intelligence and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Artificial Intelligence and will publish the download link here. Fill out this Artificial Intelligence books pdf download" request form for download notification.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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