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Intelligent Systems: Architecture, Design, and Control (Meystel, Albus, 2002)

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"An original model of intelligent systems is 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)

Book Description

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.

xx This book [published in 2002] is about robotic brains as they should be implemented in the very near future. The biologists and psychologists will find the engineering views on cognitive processes in [the] human brain.
 
p.1 The phenomenon of intelligence is demonstrated as a computational phenomenon. It emerges as a result of the joint functioning of several operators: grouping, focusing attention, searching, and formation of combinations. When information is processed by these operators, multiresolutional systems of knowledge develop, and nested loops of knowledge processing emerge. This conceptual structure permits the explanation of most of the processes characteristic of intelligent systems.
 
p.2 What is lacking is a general theoretical model of intelligence that ties all these separate areas of knowledge into a unified framework... it is emphasized that an intelligent system always has an architecture that develops as a result of the joint functioning of certain computational operators. The architecture that emerges as a result has multiple closed loops, each loop at a particular level of resolution.
   Our model is to be used for the analysis of all kinds of intelligent systems, including animals, humans, automated machines, robots, autonomous vehicles, and integrated manufacturing systems.
 
p.3 Intelligence is the ability of a system to act appropriately in an uncertain environment, where an appropriate action is that which increases the probability of success, and success is the achievement of behavioral subgoals that support the system's ultimate goal.
 
p.11 In this book, we approach the phenomenon of intelligence from a systems engineering viewpoint. Our goal is to develop engineering guidelines that enable the design and construction of intelligent systems that rival natural intelligence in performance of significant tasks in the natural world. In the following pages we set forth an outline for a theory of intelligence and propose a reference model architecture that can serve as a guideline for engineering intelligent systems.
 
p.17 The ability to transform "reality" into a "representation of reality" can be considered to be one of the most important phenomena linked with intelligence.
 
p.44 Grouping includes various procedures of clustering, class formation, unifying of sets, construction of strings, n-tuples, and so on.
 
p.44 The scope of representation is satisfied by focusing attention upon a subset of the world sufficient for problem solving. After this, the rest of the information about the world can be neglected... We will never use information more precise (and detailed) than that available at the resolution of the level of consideration... Condition of windowing. This condition is satisfied by proper selection of the size and the law of motion within the scene for the sliding window applied for the consecutive clustering and generalization procedures... All three conditions are prerequisites for the operation of search
 
p.80 The development of human intelligence would be impossible without attention focusing
 
p.83 No matter what the package is that one acquires for an intelligent system, no matter from which company it is bought, this package, if it is complete, will perform attention focusing, grouping, and combinatorial search.
 
p.350-351 in reactive behavior, robots usually react to the present situation. In a system with planning they react to the anticipated future.
   Thus planning can be considered an anticipatory reactive behavior. The difference is in the fact that anticipation requires richer representation than the simple reactive behavior requires.

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