Table of contents:
Introduction. Rule-Based Systems. Dealing with Uncertainty. Object-Oriented Systems. Intelligent Agents. Symbolic Learning. Optimization Algorithms. Neural Networks. Hybrid Systems. Tools and Languages. Systems for Interpretation and Diagnosis. Systems for Design and Selection. Systems for Planning. Systems for Control. Concluding Remarks. Index
Clear and concise, the book shows the issues encountered in the development of applied systems and describes a wide range of intelligent systems techniques. The author describes each technique at the level of detail required to develop intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, Intelligent Systems for Engineers and Scientists provides you with a detailed, up-to-date, and practical guide to solving real problems in science and engineering.
Introduction. Rule-Based Systems. Dealing with Uncertainty. Object-Oriented Systems. Intelligent Agents. Symbolic Learning. Optimization Algorithms. Neural Networks. Hybrid Systems. Tools and Languages. Systems for Interpretation and Diagnosis. Systems for Design and Selection. Systems for Planning. Systems for Control. Concluding Remarks. Index
Clear and concise, the book shows the issues encountered in the development of applied systems and describes a wide range of intelligent systems techniques. The author describes each technique at the level of detail required to develop intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, Intelligent Systems for Engineers and Scientists provides you with a detailed, up-to-date, and practical guide to solving real problems in science and engineering.
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)