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
• More Book Details
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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