Design of intelligent control systems based on hierarchical stochastic automata
著者
書誌事項
Design of intelligent control systems based on hierarchical stochastic automata
（Series in intelligent control and intelligent automation, v. 2）
World Scientific, 1996
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing knowledge about designing the different sub-systems composing an intelligent machine. Its goal is to provide a performance measure applicable to any of the sub-systems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the environment where the machine operates. Different designs can be compared using this novel approach.
目次
- Review on the design of intelligent control systems
- learning stochastic automata
- stochastic grammars
- hierarchical intelligent machines revistied
- a peformance measure for intelligent control systems
- the intelligent machine as a hierarchical stochastic automation
- design methodology and execution algorithm
- convergence rate and convergence acceleration of learning
- examples and cases studies
- conclusions and suggested future work.
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