Artificial Intelligence: A Modern Approach (Prentice-Hall Series in Artificial Intelligence)

Russell, Stuart; Norvig, Peter

ISBN 10: 0131038052 / ISBN 13: 9780131038059

Published by Prentice-Hall, 1995

About this Item

Fifth printing. Light to moderate wear to edges of jacket. Closed tear to rear flap. Sunning to jacket spine. A little scuffing and soiling to bottom of page block. Light rubbing/bumping to edges of boards. Interior clean and unmarked.

Seller Inventory # ABE-1774628547420

Bibliographic Details

• Title: Artificial Intelligence: A Modern Approach (Prentice-Hall Series in Artificial Intelligence)
• Publisher: Prentice-Hall
• Publication Date: 1995
• Language: English
• ISBN 10: 0131038052
• ISBN 13: 9780131038059
• Binding: Hardcover
• Edition: 1st Edition
• Printing: 5th or later Printing
• Condition: Very Good
• Dust Jacket Condition: Good
• Dimensions: 3.9W x 19.8H x 24.3D centimeters 3.9 centimeters width by 19.8 centimeters height by 24.3 centimeters depth
• Weight: 1634 grams
• Seller catalogs:
  • Instructional & Technical
  • Science & Technology

About this title

Synopsis

A highly accessible, up-to-date professional reference for programmers, software engineers, system administrators, or technical managers, this book integrates state-of-the-art AI techniques into intelligent agent designs using examples and exercises to lead the reader from simple reactive agents to full knowledge-based agents with natural language capabilities.

From the Back Cover

Integrates state-of-the-art AI techniques into intelligent agent designs, using examples and exercises to lead the reader from simple reactive agents to full knowledge-based agents with natural language capabilities. Covers areas that are sometimes under-emphasized--reasoning under uncertainty, learning, natural language, vision and robotics--and explains in detail some of the more recent ideas in the field e.g., simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic, programming, computational learning theory, and reinforcement learning. This highly accessible and well-written, state-of-the-art professional reference is for programmers, software engineers, system administrators, or technical managers who want to learn about or use A.I. techniques and software solutions.