文档介绍：e to The Course Artificial Intelligence & works Y. X. ZHONG Research Center of Intelligence yxzhong @ ieee .org Why we need to learn Intelligence Theory today ??? Ancient Modern Present The Age of The Society Matter Man- Driven Power- Driven Intel- Tool The History and Trend of Science and Technology Tools Created Resource Utilized Matter Energy MEI The S & T Material S & T MST EST MST EST IST Time Function of Tools Consti -tution .Strength Intelli -gence Agricultural Age Industrial Age Information Age Information Transferring Information Transferring Information Regeneration Information Execution Information Acquisition Problem in Real World Intelligence Model ( Wide & Narrow Sense ) Information Knowledge Strategy Goal Information Processing Chapter 10 New Advancements in AI & NN List of Contents Chapter 1 Introduction to Intelligence Theory Chapter 2 Mathematical Foundations Chapter 3 Information Acquisition Chapter 4 Information Representation Chapter 5 Information Processing & Regeneration Chapter 6 Expert Systems Chapter 7 Introduction to works Chapter 8 Feed-forward works Chapter 9 Feedback works References 1. N. J. Nilsson, Principles of Artificial Intelligence, Springer- Verlag , 1982 2. 蔡自兴等, 人工智能及其应用, 清华大学出版社,1987 3. J. M. Zurada , Introduction to Artificial Neural Systems, West pany, 1992 4. 钟义信等, 智能理论与技术: 人工智能与神经网络, 邮电出版社, 1992. Much more from Library work ... Chapter 1 Introduction to Intelligence Theory Section Fundamental Concepts 1. What Is Intelligence ? A) Dictionary Definitions WEBST: Capacity for understanding and for other forms of adaptive behavior. Oxford: Power of seeing, learning, understanding, and knowing. Ours: For given P roblem- E nvironment- G oal, the ability to acquire the information (I) on P and E, to process I for Knowledge (K) , to produce the stra