Synopsis
This English edition monograph is developed and updated from China's best-selling, and award-winning, book on Artificial Intelligence (AI). It covers the foundations as well as the latest developments of AI in a comprehensive and systematic manner. It is a valuable guide for students and researchers on artificial intelligence.
A wide range of topics in AI are covered in this book with four distinct features. First of all, the book comprises a comprehensive system, covering the core technology of AI, including the basic theories and techniques of ""traditional"" artificial intelligence, and the basic principles and methods of computational intelligence. Secondly, the book focuses on innovation, covering advanced learning methods for machine learning and deep learning techniques and other artificial intelligence that have been widely used in recent years. Thirdly, the theory and practice of the book are highly integrated. There are theories, techniques and methods, as well as many application examples, which will help readers to understand the artificial intelligence theory and its application development. Fourthly, the content structure of the book is quite characteristic, consisting of three parts: (i) knowledge-based artificial intelligence, (ii) data-based artificial intelligence, and (iii) artificial intelligence applications. It is closely related to the core technologies of artificial intelligence, namely knowledge, data, algorithms, and computing powers. This reflects the author's deep understanding of the artificial intelligence discipline.
À propos de l?auteur
Zixing Cai, IEEE Fellow and IEEE Life Fellow, Fellow of the International Academy of Navigation and Motion Control, United Nations Expert (UNIDO), Professor and Doctoral Supervisor of the School of Information Science and Engineering, Central South University, Chief Scientist of Hunan ZIXING AI Academy. He has served as the Vice President of the Chinese Society for Artificial Intelligence (CAAI) and Founding Director of the Intelligent Robotics Professional Committee of CAAI, Honorary Chairman of Hunan Society of Artificial Intelligence, Director of Chinese Association of Automation (CAA) and member of Intelligent Automation Professional Committee of CAA, Member of the Artificial Intelligence and Pattern Recognition Professional Committee of Chinese Computer Federation (CCF) , Member of the Evaluation Committee of the IEEE Computational Intelligence Society (CIS), and Member of the IEEE CIS Evolutionary Computing Technology Committee. Prof Cai also served as an Adjunct Professor at Rensselaer Polytechnic Institute (RPI), St. Petersburg Technical University, Technical University of Denmark, Peking University, National University of Defense Technology, Beijing University of Aeronautics and Astronautics, Beijing University of Posts and Telecommunications, etc., and also served as a Visiting Researcher at the Institute of Automation, Chinese Academy of Sciences, St. Petersburg Automation and Informatics Institute, Russian Academy of Sciences and so on. Prof Cai is one of the academic leaders in the fields of artificial intelligence, intelligent control and robotics in China. He is known as "the first person in artificial intelligence education in China", "founder of the Chinese intelligent robotics discipline" and "founder of Chinese intelligent control". He has written and published more than 50 monographs/ textbooks, and published more than 1,000 papers, which have been cited tens of thousands of times. He has presided over eight national quality engineering projects of the Ministry of Education, China, including national quality courses, quality resource sharing courses, and national teaching teams. Lijue Liu, Associate Professor, Department of Artificial Intelligence, School of Automation, Central South University. She obtained a doctorate degree in computer application technology from Central South University in 2016. She has participated in five books including Artificial Intelligence and Its Applications (5th Edition), and has written and participated in more than ten research projects. She has authored more than 20 papers and holds five patents. Her current research involves intelligent processing of medical data, artificial intelligence, computational intelligence, and machine learning. She is the deputy dean of the Hunan ZiIXING AI Academy, the executive director of the Guangxi Artificial Intelligence Society, a member of the Chinese Artificial Intelligence Society, a lecturer of the national-level excellent course "Artificial Intelligence" and a national-level video open class "Artificial Lecture Professor of Intelligent PK Human Intelligence" and member of the national teaching team of the National Intelligent Basic Courses. Baifan Chen, Associate Professor, Department of Artificial Intelligence, School of Automation, Central South University, Deputy Dean of Hunan ZIXING AI Academy, Deputy Secretary-General of Hunan Artificial Intelligence Society, IEEE Member and CAAI Member. She received a master's degree in pattern recognition and intelligent systems and a doctorate in computer application technology from Central South University in 2004 and 2009, respectively. In 2015, she served as a visiting scholar in the NetBot laboratory of Texas A & M University. She is a member of the national teaching team of the "Basic Series of Intelligent Science", the lecturer of the "Artificial Intelligence" boutique course of the Ministry of Education, and the national "Twelfth Five-Year" planning textbook Artificial Intelligence and Its Application. Her current research interests include artificial intelligence, mobile robots, and computer vision. Yong Wang received a PhD degree in control science and engineering from the Central South University, Changsha, China, in 2011. He is a Professor with the School of Automation, Central South University, Changsha, China. His current research interests include intelligent optimization and learning and its applications. He has been the principal investigator of four National Natural Science Foundation of China (NSFC) projects, and has published 47 international journal papers including 30 IEEE Transactions papers. In addition, he was a recipient of the Cheung Kong Young Scholar by Ministry of Education in 2018, and a Highly Cited Researcher in computer science by Clarivate Analytics in 2017 and 2018. He is currently serving as an Associate Editor for the IEEE Transactions on Evolutionary Computation and Swarm and Evolutionary Computation.
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