Intelligent Systems: Architecture, Design, Control (Hardcover)

Alexander M. Meystel, James S. Albus

  • 出版商: Wiley-Interscience
  • 出版日期: 2001-10-10
  • 定價: $1,150
  • 售價: $1,150
  • 貴賓價: 9.8$1,127
  • 語言: 英文
  • 頁數: 716
  • 裝訂: Hardcover
  • ISBN: 0471193747
  • ISBN-13: 9780471193746

下單後立即進貨 (2週~3週)

產品描述

A cutting-edge, multidisciplinary framework for intelligent systems

While intelligence is a difficult concept to comprehend, research into its mechanisms and functions is rapidly exploding in both biological and artificial systems. This book introduces an original model of intelligent systems, integrating knowledge from diverse sources and developing a general theory that can be used for the analysis of all kinds of highly complex systems, from whole economies to integrated manufacturing.

Intelligence as a computational phenomenon dwells upon grouping, focusing attention, and combinatorial search as its fundamental operators. In this groundbreaking work, Alex Meystel and James Albus, two of the foremost authorities in the field, draw on two decades of testing the theory in robots and other smart machines. (Dr. Meystel developed an autonomous Dune-Buggy in 1983—1987; Dr. Albus’s work forms the basis for the control system used in the Army Demo III Experimental Unmanned Ground Vehicle program, 1997—present.) Special coverage of the NIST-RCS (Real-time Control System) model is also featured in this liberally illustrated and clearly written book.

Focusing on intelligence as a computational phenomenon with a multiresolutional architecture, Intelligent Systems: Architecture, Design, and Control promises to dramatically influence future research and development in intelligence worldwide. It is a one-of-a-kind resource for scientists, engineers, and anyone wishing to explore the contemporary theory and tools of computational intelligence.

Table of Contents

PREFACE.

1. INTELLIGENCE IN NATURAL AND CONSTRUCTED SYSTEMS.

2. THEORETICAL FUNDAMENTALS.

3. KNOWLEDGE REPRESENTATION.

4. REFERENCE ARCHITECTURE.

5. MOTIVATIONS, GOALS, AND VALUE JUDGMENT.

6. SENSORY PROCESSING.

7. BEHAVIOR GENERATION.

8. MULTIRESOLUTIONAL PLANNING: A SKETCH OF THE THEORY.

9. MULTIRESOLUTIONAL HIERARCHY OF PLANNER/EXECUTOR MODULES.

10. LEARNING.

11. APPLICATIONS OF MULTIRESOLUTIONAL ARCHITECTURES FOR INTELLIGENT SYSTEMS.

12. INTELLIGENT SYSTEMS: PRECURSOR OF THE NEW PARADIGM IN SCIENCE AND ENGINEERING.

ABBREVIATIONS.

NAME INDEX.

SUBJECT INDEX.