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Adaptive Control of Ill-Defined Systems

  • Book
  • © 1984

Overview

Editors:
  1. Oliver G. Selfridge

    1. University of Massachusetts, Amherst, USA

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  2. Edwina L. Rissland

    1. University of Massachusetts, Amherst, USA

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  3. Michael A. Arbib

    1. University of Massachusetts, Amherst, USA

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Part of the book series: Nato Conference Series (NATOCS, volume 16)

Part of the book sub series: II Systems Science (SYSC)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Perspectives

    1. A Dialogue on Ill-Defined Control

      • Michael A. Arbib, Oliver G. Selfridge, Edwina L. Rissland
      Pages 1-9

    2. Humans and Their Relation to Ill-Defined Systems

      • Neville Moray
      Pages 11-20

    3. Some Themes and Primitives in Ill-Defined Systems

      • Oliver G. Selfridge
      Pages 21-26

    4. The Use of Optimal Control in Economics

      • Penelope A. Rowlatt
      Pages 27-38

    5. Biological Views of Adaptation — Some Historical Accounts

      • F. Eugene Yates
      Pages 39-50

  3. Control Theory and Non-Linear Analysis

    1. Adaptive Behavior in Manual Control and the Optimal Control Model

      • Sheldon Baron
      Pages 51-73

    2. Regulation, Feedback and Internal Models

      • W. M. Wonham
      Pages 75-88

    3. The Dynamics of Adaptation in Living Systems

      • F. Eugene Yates
      Pages 89-113

  4. Artificial Intelligence

    1. Adaptive Control: From Feedback to Debugging

      • Marvin L. Minsky
      Pages 115-125

    2. The Role of the Critic in Learning Systems

      • T. G. Dietterich, B. G. Buchanan
      Pages 127-147

    3. Examples and Learning Systems

      • Edwina L. Rissland
      Pages 149-163

    4. Conceptual Models of Ill-Defined Systems

      • Richard M. Young
      Pages 165-176

  7. Development and Evolution

    1. Piaget and Education

      • C. J. Brainerd
      Pages 277-287

    2. Implications and Applications of Piaget’s Sensorimotor Concepts

      • John Churcher
      Pages 289-304
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Keywords

About this book

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.

Editors and Affiliations

  • University of Massachusetts, Amherst, USA

    Oliver G. Selfridge, Edwina L. Rissland, Michael A. Arbib

Bibliographic Information

  • Book Title: Adaptive Control of Ill-Defined Systems

  • Editors: Oliver G. Selfridge, Edwina L. Rissland, Michael A. Arbib

  • Series Title: Nato Conference Series

  • DOI: https://doi.org/10.1007/978-1-4684-8941-5

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1984

  • Softcover ISBN: 978-1-4684-8943-9Published: 26 November 2012

  • eBook ISBN: 978-1-4684-8941-5Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: X, 350

  • Number of Illustrations: 32 b/w illustrations

  • Topics: Management of Computing and Information Systems

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