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  • 1
    UID:
    gbv_620404094
    ISSN: 0233-0784
    Content: Regenerative systems are able to overcome significant perturbations, and maintain autonomously their functionality in dynamic environments. To analyze or develop these types of systems, modeling and simulation plays a crucial role. Due to operating at different temporal and spatial scales and due to embracing many heterogeneously acting and interacting sub-systems with variable patterns of behavior, new modeling and simulation methods are required. These methodological developments and their application to a concrete biological regenerative system, i.e. the exploration of signaling pathways and their role in the differentiation of neural cells, are at the core of the GRK dIEM oSiRiS (The Integrative Development of Modeling and Simulation Methods for Regenerative Systems).
    In: Rostocker Informatik-Berichte, Rostock : Univ., Presse- und Informationsstelle Wissenschaftspublizistik, 1984, 32(2009), Seite 77-90, 0233-0784
    In: volume:32
    In: year:2009
    In: pages:77-90
    Language: English
    Author information: Rolfs, Arndt 1959-
    Author information: Uhrmacher, Adelinde 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_726108871
    Format: graph. Darst.
    ISSN: 1932-6203
    In: PLOS ONE, San Francisco, California, US : PLOS, 2006, 7(2012), 8, Seite 42792-1-42792-12, 1932-6203
    In: volume:7
    In: year:2012
    In: number:8
    In: pages:42792-1-42792-12
    Language: English
    Author information: Rolfs, Arndt 1959-
    Author information: Uhrmacher, Adelinde 1961-
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  • 3
    UID:
    gbv_654468559
    Format: graph. Darst.
    ISBN: 9781424493135
    Content: While model checking is a powerful technique to analyze the properties of a model, it can be very expensive or even impossible, if the model comprises many states that have to be explored. Simulation-based model checking is an alternative, where the properties defined in temporal logics are not checked on the model itself but on traces produced during model execution. However, for stochastic models multiple traces have to be considered. A natural way to increase the efficiency of the analysis of a set of traces is to distribute the analysis runs among a set of computational resources. These resources can be the local cores of a multi-core CPU as well as a computer network. We extended FAMVal (Flexible Architecture for Model Validation) to execute analysis tasks in a parallel and distributed manner and supports the parallelization on both – local multicore machines as well as networks. Furthermore, it allows an exchange of the underlying simulation tool, and arbitrary analysis methods. Experiments based on the modeling and simulation framework James II and with a Wnt/ Beta-catenin signaling pathway model illustrate the efficiency of parallel simulation-based model checking in FAMVal.
    In: Fourth UKSim European Symposium on Computer Modeling and Simulation (EMS), 2010, Piscataway, NJ : IEEE, 2010, (2010), Seite 344-350, 9781424493135
    In: 0769543081
    In: 1424493137
    In: 9780769543086
    In: 9781424493135
    In: year:2010
    In: pages:344-350
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Author information: Uhrmacher, Adelinde 1961-
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    gbv_620405724
    ISBN: 9781424457717
    In: Proceedings of the 2009 Winter Simulation Conference (WSC), Piscataway, NJ : IEEE, 2009, (2009), Seite 932-943, 9781424457717
    In: 142445770X
    In: 9781424457700
    In: year:2009
    In: pages:932-943
    Language: English
    Author information: Rolfs, Arndt 1959-
    Author information: Uhrmacher, Adelinde 1961-
    Library Location Call Number Volume/Issue/Year Availability
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