Book Description
Artificial Intelligence : A Modern Approach
This classic text provides a thorough analysis of the field of Artificial Intelligence (AI) and gives a clear exposition of its funda-mental principles and applications. It covers such important topics as logic, probability, learning, microelectronic devices and robotic planetary explorers. The unifying theme that permeates the entire text is that of an intelligent agent, i.e. a system that can decide what to do and then do it.
Divided into eight parts, the text begins with an introduction to the subject (AI) based on the idea of intelligent agents. Then follows a detailed discussion on problem solving, first-order logic, the methods for deciding ways to represent knowledge, planning, probabilistic reasoning, and decision mak-ing under uncertain conditions. Besides, the text explores the multifaceted aspects and various ways of learning, and delves deep into the interesting areas of communication and perception as well as the contemporary field of robotics. The book concludes with a broad survey of the current and future scenarios of Artificial Intelligence.
A distinguishing feature of the book is that it covers significant areas like constraint satisfaction, fast propositional inference, planning graphs, internet agents, Markov Chain Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, and ethical aspects of AI.
The book, with its contemporary approach and extensive coverage, would be invaluable to the students of computer science and professionals in the field.
