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Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems

Controlling • Managing • Organizing

  • Book
  • © 2004

Overview

Editors:
  1. Ana Millán Gasca

    1. Dipartimento di Matematica, Università di Roma “La Sapienza”, Roma

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  2. Mario Lucertini

    1. Dipartimento di Informatica Sistemi e Produzione, Università di Roma “Tor Vergata”, Rome

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  3. Fernando Nicolò

    1. Dipartimento di Informatica e Automazione, Università di Roma 3, Roma

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  • New studies of the interaction of science and technology in the industrial age
  • International board of contributors

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XVII
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  3. Technological Knowledge and Mathematical Models in the Analysis, Planning, and Control of Modern Engineering Systems

    1. Front Matter

      Pages 101-101
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    2. Technological Concepts and Mathematical Models in the Evolution of Control Engineering

      • Stuart Bennett
      Pages 103-128

    3. Feedback: A Technique and a “Tool for Thought”

      • Antonio Lepschy, Umberto Viaro
      Pages 129-155

    4. Adequacy of Mathematical Models in Control Theory, Physics, and Environmental Science

      • Evgenii F. Mishchenko, Alexandr S. Mishchenko, Mikhail I. Zelikin
      Pages 156-188

    5. The Development of Systems Science: Concepts of Knowledge as Seen from Western and Eastern Perpsective

      • Andrzej P. Wierzbicki
      Pages 189-220

    6. Coping With Complexity in the Management of Organized Systems

      • Mario Lucertini
      Pages 221-238

  4. Back Matter

    Pages 239-246
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Keywords

About this book

M. LUCERTINI, A. MILLAN GASCA, AND F. NICOLO 1 Technology as Knowledge: The Case of Modern Engineering Systems In recent years scholars coming from the fields of history and philosophy of sci­ ence and technology have devoted much attention to the problem of "technology as knowledge" and to the emergence of an autonomous engineering science in the Industrial Agel. This interest echoes a growing awareness among engineers of the independence of their conceptual approach with respect to other forms of knowl­ edge, linked to the consolidation of autonomous academic engineering research in th the 20 century. A careful examination of the nature of technological knowledge appears particularly valuable in view of the pervasive presence of technology in contemporary life and culture, not only as a result of its impressive achievements, but through the less obvious influence of its concepts and viewpoints as well. The activity of engineers and technicians has been traditionally based on the practical ability to cope with specific situations and to attain the corresponding specific goal by means of the design and realization of an artifact or structure, on the basis of past experience handed down by tradition and applied by means of trial-and-error and rule-of-thumb procedures. But the existence of a theoreti­ cal background and of principles underpinning this activity can be traced back to classical antiquity.

Editors and Affiliations

  • Dipartimento di Matematica, Università di Roma “La Sapienza”, Roma

    Ana Millán Gasca

  • Dipartimento di Informatica Sistemi e Produzione, Università di Roma “Tor Vergata”, Rome

    Mario Lucertini

  • Dipartimento di Informatica e Automazione, Università di Roma 3, Roma

    Fernando Nicolò

Bibliographic Information

  • Book Title: Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems

  • Book Subtitle: Controlling • Managing • Organizing

  • Editors: Ana Millán Gasca, Mario Lucertini, Fernando Nicolò

  • DOI: https://doi.org/10.1007/978-3-0348-7951-4

  • Publisher: Birkhäuser Basel

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Basel AG 2004

  • Hardcover ISBN: 978-3-7643-6940-8Published: 27 November 2003

  • Softcover ISBN: 978-3-0348-9633-7Published: 24 October 2012

  • eBook ISBN: 978-3-0348-7951-4Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XVII, 246

  • Topics: History of Mathematical Sciences, Mathematical and Computational Engineering, Theoretical and Applied Mechanics, Mathematics, general

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