DEMOS - a system for discrete event modelling on Simula.

Publisher: Macmillan, ISBN: 978-0-333-23881-3
Source: DBLP


Available from: Graham Birtwistle, Aug 01, 2014
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    ABSTRACT: The Army Model and Simulation Office and the Defense Modeling and Simulation Office sponsored a workshop on scientifically exploring simulation phenomena in the late Spring of 2002. These sponsors invited 15 leaders in modeling and simulation from academia, industry and the U.S. Government to participate. The workshop began with presentations from the participants that summarized their individual positions on the workshop topic. Working sessions constituted the bulk of the workshop in which the participants considered past scientific work on simulation, simulation observables and phenomena, hypotheses about simulation behavior, and possible experiments to improve our knowledge of simulation fundamentals. In the course of the working sessions, the participants explored the issues of simulation as a science, the nature of simulation fundamentals, past applicable work, the means to improve workforce quality, and the means to improve our knowledge of simulation fundamentals. The results of this workshop provide substantive material and realistic recommendations for breaking this technology log jam. Over the long term, scientific knowledge of simulation phenomena may evolve from these recommendations.
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    ABSTRACT: An object-oriented framework, developed in C++, that consists of a set of interfaces and classes, is introduced. This framework embodies an abstract design for raster-based hydrological models. It supports the adaptive development of hydrological models with varying level of detail in spatial discretization and process description, i.e. variations of lumped, semi-distributed or distributed and conceptual or process based models. A lumped model and an adapted semi-distributed model, following the HBV concept, were implemented based on the framework and applied to a mesoscale catchment. Model uncertainties according to parameter identifiability and the simulation results were compared.
    Proceedings of the 7th International Conference on Hydroinformatics, Nice; 09/2006
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