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Requirements and Solutions for a More Knowledgeable User-Model Dialogue in Applied Simulation

  • Gaby Neumann
  • Juri Tolujew
Part of the Studies in Computational Intelligence book series (SCI, volume 416)

Abstract

Generally, it is pretty clear and widely accepted that the human actor plays a significant role in any simulation project-although in recent years some authors proclaimed a revival of ideas for a human-free simulation at least related to distinct parts of a simulation study. Therefore, the paper aims to provide an overview on needs and challenges in model-user interaction. Furtheron, approaches, methods and tools are presented that support the user in bringing in his/her knowledge in all phases of a simulation project from model building via understanding a model and using it for experimentation to correctly interpreting simulation outcome. In addition to this, concepts are introduced and demonstrated for more flexible, but generic tools supporting comfortable simulation output analysis in a context beyond pre-defined simulation goals. With this the paper wants to contribute to bringing simulation tools and algorithms on one side and the simulation user-novice and expert-on the other closer together in order to achieve a true dialogue and exchange within a discrete event simulation supportive infrastructure.

Keywords

Simulation Model Knowledge Management Domain Expert Simulation Output Winter Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Technical University of Applied SciencesWildauGermany
  2. 2.Fraunhofer Institute for Factory Operation and Automation IFFMagdeburgGermany

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