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Intelligent Systems Annotated Bibliography and Survey. Part II. Systems with Learning and Autonomy

Published

Author(s)

A Meystel

Abstract

Part II is concentrated upon the intelligent systems equipped with subsystems that provide for a comparatively highly sophisticated faculties of intelligence: learning and autonomy. It explains general Concepts of Learning and demonstrates that by using the techniques of learning automata, the inductive techniques of learning can be introduced and explored. Implicitly, learning algorithms allude to the mechanisms of generalization, and fuzzy methodologies of representation can serve an appropriate computational tool. The algorithms of learning from experience, identification and diagnostic greatly benefit from the learning techniques. Once equipped with a system of learning, the intelligent system demonstrate qualities of adaptivity. The survey familiarizes readers with reinforcement leaning in a variety of applications. Comparatively simple cases of learning are utilized for pattern recognition. Frequently they incorporate neural networks and genetic algorithms. Hierarchical learning systems are applied for decision making and planning. Once equipped by these tools, the intelligent system demonstrates properties of autonomy.
Citation
Intelligent Systems Annotated Bibliography and Survey. Part II. Systems with Learning and Autonomy

Keywords

adaptivity, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, architecture, autonomy, computer-numerical control, computer-numerical control, control, control, control, control, control, control, control, control, control, control, control, control, control, control, control, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, enterprise architectures, fuzzy, fuzzy, generalization, generalization, identification, inductive principle, intelligence, intelligent control, intelligent system, intelligent system, learning, learning automata, Linux, Linux, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, manufacturing systems, multigranular, multiresolution, multiscale, neural, open architecture, open architecture, open architecture control, open architecture control, open source, open source, real-time control, real-time control

Citation

Meystel, A. (2001), Intelligent Systems Annotated Bibliography and Survey. Part II. Systems with Learning and Autonomy, Intelligent Systems Annotated Bibliography and Survey. Part II. Systems with Learning and Autonomy (Accessed May 25, 2024)

Issues

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Created December 31, 2001, Updated February 17, 2017