Artificial Intelligence 2nd Edition of A Guide to Intelligent Systems

“Artificial Intelligence: A Guide to Intelligent Systems 2nd Edition” is a comprehensive book written by Michael Negnevitsky, and published by Pearson Education Limited. The book is intended for undergraduate and graduate students studying AI, as well as researchers and practitioners in the field.

• Author: Michael Negnevitsky
• Edition: 2^nd Edition
• Publisher: Pearson Education Limited
• Published: July 15, 2004
• Language: English
• Pages: 435 Pages
• File Size: 12.2 MB
• ISBN: 978-0321204660

The book covers a wide range of topics related to artificial intelligence, including knowledge-based systems, machine learning, expert systems, natural language processing, neural networks, robotics, and fuzzy logic. This book also discusses the history and future of AI and its impact on society, including ethical issues and concerns.

About Michael Negnevitsky:

Michael Negnevitsky is an Australian computer scientist and author. He is a professor of electrical and electronic engineering at the University of Tasmania in Australia. Michael Negnevitsky has published numerous papers and books on topics related to artificial intelligence, machine learning, and intelligent systems. He is the author of “Artificial Intelligence: A Guide to Intelligent Systems” and “Fuzzy Systems Engineering: Theory and Practice,” in supplement to “Artificial Intelligence: A Guide to Intelligent Systems, Second Edition.” Negnevitsky is a Master of something like the Australian Computer Society as well as the Institute of Engineers Australia.

The author provides numerous examples and case studies throughout the book, which help to illustrate the concepts and techniques discussed. The book also includes exercises and review questions at the end of each chapter, as well as a glossary of key terms.

Free Download:

Programming Coding provides this book as a free pdf download. To download the book, simply search for “Artificial Intelligence: A Guide to Intelligent Systems 2nd Edition free PDF download” in your preferred search engine. You should be able to find several websites offering the book for free. This book is also available on Amazon.

Once you've downloaded the PDF, you can read it on your computer, tablet, or e-reader. The book is well-written, easy to understand, and provides a thorough introduction to the field of artificial intelligence. Its practical focus, comprehensive coverage, and engaging features make it a valuable resource for students, researchers, and practitioners alike.

One of the unique features of the book is its emphasis on the use of AI and ML in practical applications, such as data mining, image processing, and game playing. The author also includes a chapter on the development of intelligent agents, which are software programs that can act autonomously and make decisions based on their environment.

About A Guide to Intelligent Systems 2nd Edition:

The article's practical orientation is one of its main advantages. Negnevitsky emphasizes the use of AI in real-world applications, such as data mining, image processing, and game playing. This approach helps readers to understand how AI can be used to solve real-world problems and to develop intelligent systems that can act autonomously. A Guide to intelligent systems 2nd edition is considered in General books.

Programming Coding gives the best description to learn an easy way of a guide to intelligent systems 2nd edition. The book also covers a variety of AI techniques, including knowledge-based systems, machine learning, expert systems, natural language processing, neural networks, robotics, and fuzzy logic. The author provides numerous examples and case studies to illustrate these techniques, making it easy for readers to understand how they work and how they can be applied.

Another important aspect of the book is its coverage of the history and future of AI. Negnevitsky provides a thorough overview of the development of AI over the past few decades and discusses the challenges and also opportunities that lie ahead. He also examines the ethical issues and concerns associated with the development of intelligent systems, such as privacy, security, and bias.

The book includes a variety of features to help readers learn and also engage with the material. Each chapter includes review questions and exercises, as well as a glossary of key terms. The book also includes numerous illustrations and diagrams to help readers visualize the concepts and techniques discussed.

Overall, "Artificial Intelligence: A Guide to Intelligent Systems 2nd Edition" is an excellent resource for anyone interested in learning about AI. The book is well-written, easy to understand, and provides a thorough introduction to the field of artificial intelligence. Its practical focus, comprehensive coverage, and engaging features make it a valuable resource for students, researchers, and practitioners alike. Best of all, the book is available for free as a PDF, making it accessible to anyone with an internet connection.

Table of Content:

• Chapter No 01: Introduction to knowledge-based intelligent systems
• Chapter No 02: Rule-based expert systems
• Chapter No 03: Uncertainty Management in rule-based expert Systems
• Chapter No 04: Fuzzy expert systems
• Chapter No 05: Frame-based expert systems
• Chapter No 06: Artificial neural networks
• Chapter No 07: Evolutionary Computation
• Chapter No 08: Hybrid intelligent systems
• Chapter No 09: Knowledge Engineering and data mining

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