Full Product Details
Author: Adrian A. Hopgood (Sheffield Hallam University, UK)
Publisher: Taylor & Francis Ltd
Imprint: CRC Press
Edition: 4th edition
Weight: 0.566kg
ISBN: 9780367336165
ISBN 10: 0367336162
Pages: 490
Publication Date: 10 December 2021
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
The problem-oriented nature of the book and its pragmatism towards applied AI separates it from many other AI books. I have used the 2nd edition of the book on several aspects of modules taught in Data Analytics. As the new edition has an extended range of topics such as optimization algorithms, neural networks, deep learning, and intelligent agents, it also serves as an excellent and comprehensive reference book on AI topics for applied research.—Dr. Frederic Stahl, Senior Researcher at the German Research Center for Artificial Intelligence (DFKI GmbH) The problem-oriented nature of the book and its pragmatism towards applied AI separates it from many other AI books. I have used the 2nd edition of the book on several aspects of modules taught in Data Analytics. As the new edition has an extended range of topics such as optimization algorithms, neural networks, deep learning, and intelligent agents, it also serves as an excellent and comprehensive reference book on AI topics for applied research.—Dr. Frederic Stahl, Senior Researcher at the German Research Center for Artificial Intelligence (DFKI GmbH)
...it has a clear and concise style of presentation but still manages to comprise a great deal of material. ... The new chapters on intelligent agents, neural networks and optimisation algorithms fit neatly alongside the established chapters. I read the first edition of Adrian Hopgood's book a few years ago and have consulted it on many occasions for AI projects I have been involved with. I fully expect to make use of this new edition of Intelligent Systems for Engineers and Scientists for future projects. - Desmond Case, Senior Lecturer, University College Northampton, in Expert Systems: The International Journal of Knowledge Engineering and Neural Networks, September 2002
Review by Frederic Stahl, Senior Researcher at the German Research Center for Artificial Intelligence (DFKI GmbH): The problem-oriented nature of the book and its pragmatism towards applied AI separates it from many other AI books. I have used the 2nd edition of the book on several aspects of modules taught in Data Analytics. As the new edition has an extended range of topics such as optimization algorithms, neural networks, deep learning, and intelligent agents, it also serves as an excellent and comprehensive reference book on AI topics for applied research.
The problem-oriented nature of the book and its pragmatism towards applied AI separates it from many other AI books. I have used the 2nd edition of the book on several aspects of modules taught in Data Analytics. As the new edition has an extended range of topics such as optimization algorithms, neural networks, deep learning, and intelligent agents, it also serves as an excellent and comprehensive reference book on AI topics for applied research.-Dr. Frederic Stahl, Senior Researcher at the German Research Center for Artificial Intelligence (DFKI GmbH) The problem-oriented nature of the book and its pragmatism towards applied AI separates it from many other AI books. I have used the 2nd edition of the book on several aspects of modules taught in Data Analytics. As the new edition has an extended range of topics such as optimization algorithms, neural networks, deep learning, and intelligent agents, it also serves as an excellent and comprehensive reference book on AI topics for applied research.-Dr. Frederic Stahl, Senior Researcher at the German Research Center for Artificial Intelligence (DFKI GmbH)
Author Information
Dr. Adrian Hopgood is Professor of Intelligent Systems and Director of Future & Emerging Technologies at the University of Portsmouth in the UK. He is a Chartered Engineer, Chartered IT Professional, Fellow of the BCS (British Computer Society, the Chartered Institute for IT), and a committee member for the BCS Specialist Group on Artificial Intelligence. He earned his BSc from the University of Bristol, PhD from the University of Oxford, and MBA from the Open University. After completing his PhD, he joined the AI team of Systems Designers PLC. That experience set the direction of his career toward the investigation of intelligent systems and their practical applications. After leaving Systems Designers, he spent 14 years at the Open University and remains attached as a visiting professor. During that period, he also spent two years at Telstra Research Laboratories in Australia, investigating the role of intelligent systems in telecommunications. He has subsequently worked for Nottingham Trent University, De Montfort University, Sheffield Hallam University, and the University of Liège, before joining the University of Portsmouth. Despite assuming several senior management positions during his career, he has never lost his passion for intelligent systems. He has supervised 20 PhD projects to completion and published more than 100 research articles. His website is adrianhopgood.com.
