Systems Analysis and Simulation II

Applications Proceedings of the International Symposium held in Berlin, September 12–16, 1988

  • Achim Sydow
  • Spyros G. Tzafestas
  • Robert Vichnevetsky

Part of the Advances in Simulation book series (ADVS.SIMULATION, volume 2)

Table of contents

  1. Front Matter
    Pages 1-16
  2. Complex Systems Analysis for Environment Problems

    1. Basic Problems

      1. G. A. Dorrer, O. G. Ovezgeldyev, M. G. Dimitriev, M. R. Mansimov
        Pages 21-23
      2. Józef Korbicz, I. L. Parmaste, Piotr Gawlowicz
        Pages 29-32
    2. Acid Rain

      1. A. Sydow, K. Bellmann, R. Straubel, I. Imming, H. Kaschenz, U. Damrath et al.
        Pages 37-41
    3. Forestry

      1. K. Bellmann, P. Lasch, G. Hofmann, S. Anders, H. Schulz
        Pages 45-50
    4. Water Systems

  3. Complex Systems Analysis for Industrial Automation

About these proceedings

Introduction

The present volume contains the papers which were accepted for presentation at the 3rd International Symposium for Systems Analysis and Simulation held in Berlin (GDR), September 12-:-16, 1988. It is already a tradition to meet a broad international community of experts in systems analysis, modelling and simulation at this symposium. This fact shows the requirements for a forum of presentation and discussion of new developments and applications of modelling and simulation in systems analysis. To realize the great interest in this field one has to take into consideration the developed role of computer simulation as a powerful tool of problem solving. More and more areas in sciences and production have been investigated by mathematical models and computer' simulation. Biological sciences and social sciences are even by now influenced by this trend. The model use on the computer has been very much improved in decision support systems. Parallel simulation will provide drastic shortening of computing time. Parallel simulation and model based decision support systems are brought in the focus of international activities. Numerical mathematics, systems theory and control sciences provide with algorithms supporting the modelling process itself based on simulation or analytic methods. Such simulation systems equipped with tools for modelling and graphics for representing results are real model support systems. A new important impact comes from artificial intelligence by knowledge processing. Expert systems may help decision making in case of missing mathematical models. Expert systems may also support teaching and using simulation systems.

Keywords

computer simulation modeling problem solving robotics simulation

Editors and affiliations

  • Achim Sydow
    • 1
  • Spyros G. Tzafestas
    • 2
  • Robert Vichnevetsky
    • 3
  1. 1.Zentralinstitut für Kybernetik und InformationprozesseAkademie der Wissenschaften der DDRBerlinGermany
  2. 2.Computer Engineering DivisionNational Technical University of AthensAthensGreece
  3. 3.Department of Computer ScienceRutgers UniversityNew BrunswickUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-8936-1
  • Copyright Information Springer-Verlag New York 1988
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97093-6
  • Online ISBN 978-1-4613-8936-1
  • Series Print ISSN 1430-9580
  • About this book