Artificial Intelligence (3rd Edition)

Author: Winston
Publisher:
Publication 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 manifesting 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 6034 Introduction to Intelligence. It is aimed at two types of readers: one being students or professionals in computer science and engineering, who will gain various new concepts, especially in knowledge representation and the development of practical systems, enabling them to better leverage the potential of computers after understanding artificial intelligence; the other being students or professionals in psychology, biology, linguistics, or philosophy, who will uncover the mysteries of intelligence from a computational perspective, allowing them to grasp the principles of realizing intelligence after understanding artificial intelligence. This is the third edition, completely rewritten and updated to reflect the revolutionary advancements in the field of artificial intelligence since the previous edition's release. Part 1 explains knowledge representation and methods of reasoning using knowledge; Part 2 discusses the prerequisites for manifesting 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, a wealth of programs related to this book can also be downloaded 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.