Artificial Intelligence (3rd Edition)

Author: Winston (USA), translated by Cui Liangyi and Zhao Yongchang
Publisher:
Publish Date: 2005-07-01
Features: This book is divided into three parts:
Part 1 explains methods of knowledge representation and reasoning using knowledge;
Part 2 discusses the prerequisites for demonstrating intelligence, i.e., learning ability;
Part 3 covers visual perception and language understanding.
This book is the recommended textbook for MIT's 2004 Fall course Introduction to Intelligence.
It is aimed at two types of readers:
1. Students or professionals in computer science and engineering, who will gain new concepts, especially in knowledge representation and the development of practical systems. Understanding AI will help them better leverage the potential of computers.
2. Students or professionals in psychology, biology, linguistics, or philosophy, who will uncover the mysteries of intelligence from a computational perspective. Understanding AI will enable them to grasp the principles of realizing intelligence.
This is the third edition, completely rewritten and updated, reflecting revolutionary advancements in the field of artificial intelligence since the previous edition's release.
Part 1 explains knowledge representation and reasoning using knowledge;
Part 2 discusses the prerequisites for demonstrating intelligence—learning ability;
Part 3 covers visual perception and language understanding.
Its accompanying Teacher's Manual includes detailed solutions to exercises and sample syllabi.
For readers familiar with the LISP language, additional programs related to the book are available for download from the internet.
This book is suitable for students and researchers in computer science and engineering, as well as those in psychology, biology, linguistics, and philosophy.