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Computer simulation has developed into a powerful tool for problem
solving in a variety of areas, in the sciences as well as in
industrial environments. New developments such as parallel
simulation techniques will further improve the efficiency of the
tool. Decision support systems, either based on mathematical models
or on knowledge based expert systems will make computer simulation
accessible to more users, and will provide better environments for
systems analysis, modeling and simulation. Systems Analysis and
Simulation presents the papers accepted for the 3rd International
Symposium for Systems Analysis and Simulation held in Berlin (GDR)
in September of 1988. The contributions selected for this
two-volume set present the state of the art and current trends in
computer simulation. Volume I emphasizes the theoretical
foundations and the methodology for computer simulation and systems
analysis. Volume II presents a variety of applications in fields
such as manufacturing, robotics, economics, and biology.
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.
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