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9789810247904

Hierarchically Intelligent Machines

by Saridis, George N.
  • ISBN13:

    9789810247904

  • ISBN10:

    9810247907

  • eBook ISBN(s):

    9789812810823

  • Format: Hardcover
  • Copyright: 2002-03-01
  • Publisher: World Scientific Pub Co Inc
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Summary

Presents the result of 30 years' work on the original material related to "thinking machines". It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings.

Table of Contents

Table of Contents
vii
Table of Figures
xi
Table
xiii
Preface xv
Introduction
1(13)
Motivation
1(3)
Automation and Control in modern Society
4(2)
Intelligent Machines-A Survey
6(5)
Book Organization
11(1)
Remarks
11(1)
References
12(2)
Machine Intelligence, Knowledge and Precision; Concepts and Definition
14(11)
Introduction
14(1)
Artificial vs. Machine Intelligence
14(3)
Smart Systems
17(1)
Knowledge and Intelligence in the Machine
17(4)
Precision and Complexity
21(1)
Hierarchically Intelligent Control
21(2)
Remarks
23(1)
References
23(2)
Entropy and the Principle of Increasing Precision with Decreasing Intelligence (IPDI)
25(12)
Uncertainty and Entropy
25(1)
Entropy and Thermodynamics: Boltzmann
26(2)
Entropy and Information Theory: Shannon
28(1)
Kolmogorov's ε-Entropy
28(1)
Entropy, Environment and Manufacturing
28(1)
The Modified Jaynes' Principle of Maximum Entropy
29(3)
The Principle of Increasing Precision Decreasing Intelligence
32(1)
Remarks
33(1)
References
33(4)
The Analytic Formulation of Hierarchically Intelligent Machines
37(8)
Introduction
37(1)
The Architecture of the Machine
38(1)
Definitions of the Procedure
38(3)
Hierarchical Modeling of the Levels of the Intelligent Machine
41(1)
Remarks
42(1)
References
42(3)
Hierarchically Intelligent Control: The Organization Level
45(16)
Introduction
45(1)
The Boltzmann Neural Net
45(2)
The Analytic Model
47(3)
Search Techniques
50(5)
Simulated Annealing Algorithm
52(1)
Expanding Subinterval Random Search Algorithm
52(1)
Genetic Search Algorithm
53(1)
Modified Global Genetic Algorithm
54(1)
A Test Case for Comparisons
54(1)
Remarks
55(4)
References
59(2)
Hierarchically Intelligent Control: The Coordination Level
61(16)
Introduction
61(1)
The Architecture of the Coordination
61(2)
Petri Nets and Petri Net Transducers
63(3)
The Coordination Structure
66(5)
Task Scheduling and Translation
71(1)
Performance and Entropy
71(2)
Remarks
73(1)
References
73(4)
Hierarchically Intelligent Control: The Execution Level
77(7)
Introduction
77(1)
The Theory of Global Entropy
78(1)
Entropy Formulation of Motion Control
79(1)
Entropy Measures of Stereo vision Systems
80(2)
Remarks
82(1)
References
82(2)
Hierarchically Intelligent Control: Application to Robotic Systems
84(16)
Introduction
84(1)
The Architecture of the Organization Level
84(2)
The Architecture of the Coordination Level
86(2)
The Analytic Model
88(3)
The Architecture of the Execution Level
91(2)
The Architecture of Motion Control
93(2)
Entropy Measure of the Vision System
95(1)
Entropy Measure for the Sensory System
96(1)
Total Entropy of the System
96(1)
Remarks
97(1)
References
97(3)
Intelligent Manufacturing
100(20)
Introduction
100(1)
Intelligent Manufacturing
101(4)
Architecture of Intelligent Scheduling for Production
105(7)
Product Scheduling Architecture: The Organization Level
105(5)
Product Scheduling Architecture: The Coordination Level
110(2)
Product Scheduling Architecture: The Execution Level
112(1)
A Paradigm of Automated Production Scheduling
112(4)
The Organization Level Structure
114(1)
The Coordination Level Structure
114(2)
The Execution Level Structure
116(1)
Simulation Results for the Assembly of a Machine
116(1)
Remarks
117(1)
References
117(3)
Conclusions
120(5)
Distributed Intelligent Machines and Cooperating Robots
120(1)
Future Research
120(2)
Concluding Remarks
122(1)
References
122(3)
Index 125

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