Advanced Artificial Intelligence - (Second Edition)

Author: Shi Zhongzhi
Publisher:
Publish Date: 2006-09-01
Features: Artificial intelligence is a branch of computer science and a discipline that studies machine intelligence. It employs artificial methods and techniques to develop intelligent machines or systems, imitating, extending, and expanding human intelligence to achieve intelligent behavior. This book consists of 16 chapters. Chapters 1-6 discuss cognitive issues and logical foundations of artificial intelligence, covering constraint reasoning, qualitative reasoning, case-based reasoning, and probabilistic reasoning. Chapters 7-13 focus on machine learning, including inductive learning, support vector machines, interpretive learning, reinforcement learning, rough sets, association rules, and knowledge discovery. Chapter 14 elaborates on distributed intelligence. Chapters 15-16 discuss evolutionary computation and artificial life, respectively. Compared to the edition, five new chapters have been added. Other chapters have also undergone significant revisions and supplements. The content of this book is novel, reflecting the latest research progress in the field, and particularly summarizes the author's years of scientific research achievements. The book strives to discuss the methods and key technologies of artificial intelligence from theoretical, algorithmic, systemic, and applied perspectives. It can serve as a textbook for senior undergraduate and graduate students in the field of information and related disciplines, as well as a reference for relevant technical personnel.