Overview
- Suggests a generic BOXES coefficient that makes the system almost completely application-independent
- Highlights potential flaws in the system
- Describes how system flaws is mitigated
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Table of contents (17 chapters)
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Front Matter
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Learning and Artificial Intelligence (AI)
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Front Matter
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The Trolley and Pole
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Front Matter
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Other BOXES Applications
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Front Matter
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Extending the Algorithm
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Front Matter
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Further Thoughts
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Front Matter
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Keywords
About this book
This book focuses on how the BOXES Methodology, which is based on the work of Donald Michie, is applied to ill-defined real-time control systems with minimal a priori knowledge of the system. The method is applied to a variety of systems including the familiar pole and cart. This second edition includes a new section that covers some further observations and thoughts, problems, and evolutionary extensions that the reader will find useful in their own implementation of the method.
This second edition includes a new section on how to handle jittering about a system boundary which in turn causes replicated run times to become part of the learning mechanism. It also addresses the aging of data values using a forgetfulness factor that causes wrong values of merit to be calculated. Another question that is addressed is “Should a BOXES cell ever be considered fully trained and, if so, excluded from further dynamic updates”. Finally, it expands on how system boundaries may be shifted using data from many runs using an evolutionary paradigm.
Authors and Affiliations
About the author
David W. Russell, Ph.D, FIMechE, is a Professor Emeritus of Electrical Engineering at Penn State Great Valley, Pennsylvania, USA. His research interests include: applications of artificial intelligence (AI) to real-time, poorly defined control systems, systems engineering, factory information systems, philosophy of machine intelligence, and chaos theory and applications. He has lectured worldwide for many years and has over 30 papers based around the BOXES methodology.
Bibliographic Information
Book Title: The BOXES Methodology Second Edition
Book Subtitle: Black Box Control of Ill-defined Systems
Authors: David W. Russell
DOI: https://doi.org/10.1007/978-3-030-86069-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-86068-4Published: 19 November 2021
Softcover ISBN: 978-3-030-86071-4Published: 20 November 2022
eBook ISBN: 978-3-030-86069-1Published: 18 November 2021
Edition Number: 2
Number of Pages: XXII, 277
Number of Illustrations: 126 b/w illustrations, 15 illustrations in colour
Additional Information: Second edition of this title: https://www.springer.com/gp/book/9781849965279.
Topics: Control and Systems Theory, Vibration, Dynamical Systems, Control, Algorithms, Control Structures and Microprogramming, Systems Theory, Control, Artificial Intelligence