Adaptive control of ill-defined systems
Author(s)
Bibliographic Information
Adaptive control of ill-defined systems
(NATO conference series, II,
Published in cooperation with NATO Scientific Affairs Division [by] Plenum Press, c1984
Available at 10 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
"Proceedings of the NATO Advanced Research Institute on Adaptive Control of Ill-defined Systems, held June 21-26, 1981 in Moretonhampstead, Devon, England"--T.p. verso
Includes bibliographical references and indexes
Description and Table of Contents
Description
There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment, or where he is learning and adapting to new conditions. Again, sometimes the kinds of complexity do not lead to easily analyzable models at all; here we might include most economic systems, in all forms of societies. There are several factors that seem to contribute to systems being hard to model, understand, or control.
The human participants may act in ways that are so variable or so rich or so interactive that the only adequate model of the system would be the entire system itself, so to speak. This is probably the case in true long term systems involving people learning and growing up in a changing society.
Table of Contents
Perspectives.- A Dialogue on Ill-Defined Control.- Hijmans and Their Relation to Ill-Defined Systems.- Some Themes and Primitives in Ill-Defined Systems.- The Use of Optimal Control in Economics.- Biological Views of Adaptation - Some Historical Accounts.- Control Theory Mb Non-Linear Analysis.- Adaptive Behavior in Manual Control and the Optimal Control Model.- Regulation, Feedback and Internal Models.- The Dynamics of Adaptation in Living Systems.- Artificial Intelligence.- Adaptive Control: From Feedback to Debugging.- The Role of the Critic in Learning Systems.- Examples and Learning Systems.- Conceptual Models of Ill-Defined Systems.- Motor Skills.- Creativity in Skilled Performance.- The Concepts of 'Adaptation' and 'Attunement' in Skill Learning.- Visuomotor Coordination: From Neural Nets to Schema Theory.- Language Acquisition and Adaptation.- Richly Specified Input to Language Learning.- The Sensible Brain: Adaptation as a Positive and as a Negative Factor in the Reorganization of Neuropsychological Systems After Brain Damage.- Development and Evolution.- Piaget and Education.- Implications and Applications of Piaget's Sensorimotor Concepts.- Failure is Not the Spur.- Genetic Algorithms and Adaptation.- Contributors.- Author Index.
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