Intelligent Systems

Architecture, Design, and Control

Meystel, Alexander M. / Albus, James S.

Wiley Series on Intelligent Systems

1. Edition October 2001
XX, 696 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-0-471-19374-6

John Wiley & Sons

Sample Chapter

Short Description

Intelligent systems combine artificial intelligence (AI) with robotic technology in order to allow machines to perform complicated tasks without human involvement, for example in such state-of-the-art applications as unmanned autonomous vehicles. The control system used in many of these applications is based on the principles and architectures developed by Jim Albus and Alex Meystel. This book is a timely introduction to a rapidly emerging field. It presents the fundamentals of the theory of intelligent systems and multiple applications of it, including Dune-Buggy and Baby-Robot developed at Drexel University, and Robo-Crane and Unmanned Army Vehicle developed at the National Institute of Standards and Technology. This book will influence research and development in this area for years to come.

Further versions

This comprehensive treatment of the field of intelligent systems is written by two of the foremost authorities in the field. The authors clearly examine the theoretical and practical aspects of these systems. The book focuses on the NIST-RCS (Real-time Control System) model that has been used recently in the Mars Rover.

Preface
Intelligence in Natural and Constructed Systems
Theoretical Fundamentals
Knowledge Representation
Reference Architecture
Motivations, Goals, and Value Judgment
Sensory Processing
Behavior Generation
Planner
Multiresolutional Planning: A Sketch of the Theory
Multiresolutional Hierarchy of Planner/Executor Modules
Learning
Applications of Multiresolutional Architectures for Intelligent Systems
Intelligent Systems: Precursor of the New Paradigm in Science and Engineering
Abbreviations
Name Index
Subject Index

"An original model of intelligent systems ins introduced, integrating knowledge from diverse sources and developing a general theory that can be used for analysis of all kinds of highly complex systems..." (SciTech Book News, Vol. 25, No. 4, December 2001)

"...It is a highly valuable book for students, workers and researchers in this area." (Measurement & Control, May 2003)

ALEXANDER M. MEYSTEL, PhD, is Professor of Electrical and Computer Engineering at Drexel University, Philadelphia, Pennsylvania.
JAMES S. ALBUS, PhD, is Senior NIST Fellow in the Intelligent Systems Division at the National Institute of Standards and Technology.

A. M. Meystel, Drexel Univ., Pennsylvania; J. S. Albus, National Institute of Standards and Technology, Gaithersburg, Maryland