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.
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Neumann, G., Tolujew, J. (2012). Requirements and Solutions for a More Knowledgeable User-Model Dialogue in Applied Simulation. In: Byrski, A., Oplatková, Z., Carvalho, M., Kisiel-Dorohinicki, M. (eds) Advances in Intelligent Modelling and Simulation. Studies in Computational Intelligence, vol 416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28888-3_1
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DOI: https://doi.org/10.1007/978-3-642-28888-3_1
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