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人工智能:探昔论今(英文版)

本书作者蔡自兴是我国人工智能学科的学术带头人之一,被誉为“中国人工智能教育第一人”。

作者:蔡自兴、刘丽珏、陈白帆、王勇
定价:258
印次:1-1
ISBN:9787302590972
出版日期:2021.10.01
印刷日期:2021.09.17

《Artificial Intelligence:From Beginning to Date》 covers a wide range of topics in artificial intelligence with three distinct features.《Artificial Intelligence:From Beginning to Date》 is expected to be welcomed by readers.It is a comprehensive manual and practical guide for artificial intelligence research and development personnel to conduct research on related artificial intelligence projects. It is also a valuable reference for undergraduate and graduate students to learn artificial intelligence.

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May 5, 2021 16:4 Arti.cial Intelligence: From Beginning to Date 9in x 6in b4086-fm page vii Foreword In May 1983, I went to Purdue University in the United States to study arti.cial intelligence under the direction of Professor K.S. Fu, a member of the National Academy of Engineering Sciences, an international pioneer in arti.cial intelligence, and the father of international pattern recognition. Under the advice and guidance of Academician K.S. Fu, Guangyou Xu, and I edited and wrote a book, Arti.cial Intelligence and Its Applications.It was published by Tsinghua University Press in 1987 and became the .rst published arti.cial intelligence book with independent intellectual property rights in China. This book has played a major role in promoting the spread and development of arti.cial intelligence in China in the past 35 years. I deeply miss and thank Professor Fu, Professor Wenjun Wu and Professor Tong Chang, and deeply thank to Dr. Jian Song and Professor Yanda Li. As a frontier and interdisciplinary subject, arti.cial intelligence has been advancing with the times along with the progress of world society and the development of science and technology. It has made great progress in the past 60 years. In recent years, a new round of arti.cial intelligence research and entrepreneurial climax has emerged, pushing the development of arti-.cial intelligence into a new era. New arti.cial intelligence algorithms rep-resented by deep learning promote the widespread application of arti.cial intelligence, and the industrialization of arti.cial intelligence has also risen to new heights. At present, there is a lack of monographs at home and abroad that fully re.ect the latest developments in arti.cial intelligence. People hope to have such a book available. The book should not only have a novel system architecture, fully re.ect the scienti.c and technological connotation of arti-.cial intelligence, but also highlight the innovative development of arti.cial intelligence and guide its application. WSPC advised us to publish a new monograph on arti.cial intelligence at the right time. After reviewing and discussing our Publication Proposal, on the recommendation of AI experts 3 May 5, 2021 16:4 Arti.cial Intelligence: From Beginning to Date 9in x 6in b4086-fm page viii Arti.cial Intelligence: From Beginning to Date 4 such as Dr. A. Ng and Dr. J.H. Zheng, as well as the recommendation of IEEE Fellow Dr.YC Jin and IEEE Fellow Dr. L.C. Jiao, the publishers agreed to compile and publish a new arti.cial intelligence monograph named Arti.-cial Intelligence: From Beginning to Date, and proposed a new architecture and related content. This book covers a wide range of topics in arti.cial intelligence and has three characteristics. First, this book is a systematic and comprehen-sive book covering the core technologies of arti.cial intelligence, includ-ing the basic theories and techniques of “traditional” arti.cial intelligence, and the basic principles and methods of computational intelligence. Sec-ondly, this book pays attention to innovation, focusing on the introduction of machine learning, especially deep learning technology and other arti.cial intelligence learning methods that have been widely used in recent years. Third, the theory and practice of this book are highly integrated. There are theories, techniques, methods, and many examples of deep learning appli-cations that can help readers understand the theory of arti.cial intelligence and its application development. This book is divided into three parts, following the introductory Chapter 1, which describes the de.nition, classi.cation, origin, and devel-opment of arti.cial intelligence, introduces the research objectives and main contents of arti.cial intelligence, and lists the research and applica-tion .elds of arti.cial intelligence.The .rst part is knowledge-based arti.cial intelligence, including Chapters 2 to 4; Chapters 2 and 3 study the knowl-edge representation method and search inference technology of arti.cial intelligence, and Chapter 4 discusses knowledge-based machine learn-ing. Part 2 is data-based arti.cial intelligence, including Chapters 5 to 7; Chapters 5 and 6 introduce neural computing and evolutionary computing, respectively, and Chapter 7 discusses data-based machine learning. Part 3 contains application examples of arti.cial intelligence, including Chapters 8 to 11, elaborating on the important application areas of arti.cial intelligence in each of the following: expert system, intelligent planning, intelligent per-ception (including pattern recognition and speech recognition), and natural language processing, etc., with special attention being paid to introduce the application of deep learning in various related .elds. The last chapter, Chapter 12, is the prospect of arti.cial intelligence, involving the impact of arti.cial intelligence on humans, the deep integration of arti.cial intel-ligence technology, and the industrialization of arti.cial intelligence. This book is a practical guide for arti.cial intelligence research and development May 5, 2021 16:4 Arti.cial Intelligence: From Beginning to Date 9in x 6in b4086-fm page ix Foreword 5 personnel, and a valuable reference book for undergraduate and graduate students to learn arti.cial intelligence. In the process of writing this book, we have referred to hundreds of ref-erences, citing some of their materials, so that this book can draw on the strengths of each family, more comprehensively re.ecting the latest devel-opments in various .elds of arti.cial intelligence. In Part III, each chapter focuses on X.A. Bao, Siyu Guo, J. Johnson, Fei-Fei Li, L.J. Li, J.D. Lu, A.Y. Ng, D. Wu, as well as Z.H. Zhou, etc. in deep learning application research examples. Their works or discussions with them have provided rich nutrition for this book, which has greatly bene.ted us. We express our heartfelt thanks to them. We also wish to sincerely thank Dr. A. Ng and Dr. JH Zheng and other experts for their important suggestions on the content organization of this book, as well as IEEE Fellow Dr.Y.C Jin and IEEE Fel-low Dr. L.C. Jiao, who strongly recommend the topic selection of this book. Special thanks to Dr. J.F. Cai for his strong support and help in the work of this book. We sincerely thank the relevant leaders, experts, and editors from Central South University, Hunan ZIXING Academy of Arti.cial Intelligence, Tsinghua University Press, and WSPC. Without their support and encour-agement, wisdom and talent, hard work and vigorous cooperation, this book could not have been made available to the readers as quickly. The writing of this book is presided over and drafted by Zixing Cai. The division of tasks for each chapter is as follows: Chapter 1–5, Chapter 8– 9, and Chapter 11–12 by Zixing Cai, Chapter 6 by Yong Wang, Chapter 7 by Lijue Liu, and Chapter 10 by Baifan Chen. For a long time, the three young authors, Dr. Wang, Dr. Liu, and Dr. Chen, were all core members of my research team, and they have emerged in the .eld of arti.cial intelli-gence research and education. Due to our limited knowledge and the rapid development of arti.cial intelligence in recent years, we are not familiar enough with the latest developments in some areas of arti.cial intelligence; therefore, shortcomings are inevitable. We sincerely hope that experts and readers will not hesitate to provide valuable feedback. Zixing Cai Deyi Garden, E’yang Mountain, Changsha, China March 21, 2021

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  • 蔡自兴,中南大学信息科学与工程学院教授,博士生导师,湖南省自兴人工智能研究院首席科学家。曾任中国人工智能学会副理事长,智能机器人学会专业委员会主任,中国计算机学会人工智能与模式识别专业委员会委员,中国自动化学会理事,智能自动化专业委员会委员,IEEE 计算智能学会评审委员会委员和进化计算技术委员会委员,曾任《智能系统学报》编委会副主任,《控制理论和应用》、《机器人》、《控制与决策》、《计算技术与自动化》、《冶金自动化》等6家杂志编委。
  • (1) 《Artificial Intelligence:From Beginning to Date》 comprehensively covers the technical content of artificial intelligence. It not only discusses knowledge-based artificial intelligence with a certain space, but also highlights data-based artificial intelligence content with a larger space, so that readers have a more comprehensive understanding of artificial intelligence from ancient times to the present.

    (2) 《Artificial Intelligence:From Beginning to Date》focuses on the new technology of artificial intelligence that has been rapidly developed and widely used in recent years. It provides a relatively comprehensive introduction to deep neural networks and deep learning and their applications, which can be used as a research guide for readers to learn and refer to.

    (3)In addition to discussing the technical content of artificial intelligence, 《Artificial Intelligence:From Beginning to Date》discusses on some general issues of artificial intelligence in the new era, such as the core technology and role of artificial intelligence, industrialization of artificial intelligence, the benefits and safety of artificial intelligence, which will help readers expand their horizons and enhance their comprehensive understanding of artificial intelligence.
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  • Contents 

    List of Tables  17 

    List of Figures  19 

    About the Authors  25 

    Chapter 1. Introduction  1 

    1.1 De.nition and Development of Arti.cial Intelligence .... 2 

    1.1.1  De.nition of arti.cial intelligence ........... 3 

    1.1.2  Origin and development of arti.cial intelligence ........................ 5 

    1.2  Classi.cation of Arti.cial Intelligence Systems ........ 14 

    1.3  Research Objectives and Contents of Arti.cial Intelligence............................. 19 

    1.3.1  Research objectives of arti.cial intelligence .... 19 

    1.3.2  Research and application .elds of arti.cial intelligence ........................ 20 

    1.4  Core Elements of Arti.cial Intelligence ............ 25...

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