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Simulation and Model-Based Methodologies: An Integrative View: 10 (NATO ASI Subseries F:) - Softcover
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Simulation, like a gem, is multi-faceted. Several subfields of simulation have emerged based on the characteristics of models used in a simulation study, on the nature and the generation characteristics of model behavior, also on the agent soch as a computer which generates model behavior. For example, one distinguishes: - deterministic simulation, stochastic simulation, stiff simulation based on functional rela tionships of descriptive vuriables of models used; - combined simulation, continuous simulation, discrete simulation, process simulation, dis crete event simulation, activity-scanning simulation based on characteristics of descrip tive variables of modelS; variable topology simulation soch as moving boundary simulation, cellular simulation and fixed topology simulation soch as boundary-value simulation and network simulation (network flow simulation, Petri-net simulation, bond-graph simulation) based on spatial distribution of models; - simulation with fixed organization models (soch as simulation with hierarchical models) and simulation with variable organization models (i.e., autopoietic simulation) soch as metamorphic simulation, simulation with self-organizating models, simulation with self learning models, evolutionary simulation based on orgCl''lization of component models; - state-maintaining simulation, behaviorally adaptive simulation, goal-seeking simulation, purposive simulation, purposeful simulation, ideal-seeking simulation based on goal(s) to be pursued by the model; - trajectory simulation, stroctural simulation, real-time simulation, predictive simulation, prescriptive simulation, intermittent simulation (such as regenerative simulation, opti mizing simulation, gaming simulation, conferencing simulation, on-line simulation) based on nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can be
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Simulation, like a gem, is multi-faceted. Several subfields of simulation have emerged based on the characteristics of models used in a simulation study, on the nature and the generation characteristics of model behavior, also on the agent soch as a computer which generates model behavior. For example, one distinguishes: - deterministic simulation, stochastic simulation, stiff simulation based on functional rela tionships of descriptive vuriables of models used; - combined simulation, continuous simulation, discrete simulation, process simulation, dis crete event simulation, activity-scanning simulation based on characteristics of descrip tive variables of modelS; variable topology simulation soch as moving boundary simulation, cellular simulation and fixed topology simulation soch as boundary-value simulation and network simulation (network flow simulation, Petri-net simulation, bond-graph simulation) based on spatial distribution of models; - simulation with fixed organization models (soch as simulation with hierarchical models) and simulation with variable organization models (i.e., autopoietic simulation) soch as metamorphic simulation, simulation with self-organizating models, simulation with self learning models, evolutionary simulation based on orgCl''lization of component models; - state-maintaining simulation, behaviorally adaptive simulation, goal-seeking simulation, purposive simulation, purposeful simulation, ideal-seeking simulation based on goal(s) to be pursued by the model; - trajectory simulation, stroctural simulation, real-time simulation, predictive simulation, prescriptive simulation, intermittent simulation (such as regenerative simulation, opti mizing simulation, gaming simulation, conferencing simulation, on-line simulation) based on nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can be
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NATO Advanced Institute Ottawa, Ontario/ Canada, July 26 - August 6, 1982
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Simulation and Model-Based Methodologies: An Integrative View
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. NATO Advanced Institute Ottawa, Ontario/ Canada, July 26 - August 6, 1982Section 1: Conceptual Bases for System Modelling and Design.- 1: Model-Based Activities: A Paradigm Shift.- 2: System Paradigms as Reality Mappings.- 3: General Systems Framework f. Bestandsnummer des Verkäufers 5071579
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Simulation and Model-Based Methodologies: An Integrative View
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Simulation, like a gem, is multi-faceted. Several subfields of simulation have emerged based on the characteristics of models used in a simulation study, on the nature and the generation characteristics of model behavior, also on the agent soch as a computer which generates model behavior. For example, one distinguishes: - deterministic simulation, stochastic simulation, stiff simulation based on functional rela tionships of descriptive vuriables of models used; - combined simulation, continuous simulation, discrete simulation, process simulation, dis crete event simulation, activity-scanning simulation based on characteristics of descrip tive variables of modelS; variable topology simulation soch as moving boundary simulation, cellular simulation and fixed topology simulation soch as boundary-value simulation and network simulation (network flow simulation, Petri-net simulation, bond-graph simulation) based on spatial distribution of models; - simulation with fixed organization models (soch as simulation with hierarchical models) and simulation with variable organization models (i.e., autopoietic simulation) soch as metamorphic simulation, simulation with self-organizating models, simulation with self learning models, evolutionary simulation based on orgCl''lization of component models; - state-maintaining simulation, behaviorally adaptive simulation, goal-seeking simulation, purposive simulation, purposeful simulation, ideal-seeking simulation based on goal(s) to be pursued by the model; - trajectory simulation, stroctural simulation, real-time simulation, predictive simulation, prescriptive simulation, intermittent simulation (such as regenerative simulation, opti mizing simulation, gaming simulation, conferencing simulation, on-line simulation) based on nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can be. Bestandsnummer des Verkäufers 9783642821462
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Simulation and Model-Based Methodologies: An Integrative View
ISBN 10: 3642821464
ISBN 13: 9783642821462
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can beSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 672 pp. Englisch. Bestandsnummer des Verkäufers 9783642821462
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Simulation and Model-Based Methodologies: An Integrative View
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Springer Berlin Heidelberg Dez 2011, 2011
ISBN 10: 3642821464
ISBN 13: 9783642821462
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Simulation, like a gem, is multi-faceted. Several subfields of simulation have emerged based on the characteristics of models used in a simulation study, on the nature and the generation characteristics of model behavior, also on the agent soch as a computer which generates model behavior. For example, one distinguishes: - deterministic simulation, stochastic simulation, stiff simulation based on functional rela tionships of descriptive vuriables of models used; - combined simulation, continuous simulation, discrete simulation, process simulation, dis crete event simulation, activity-scanning simulation based on characteristics of descrip tive variables of modelS; variable topology simulation soch as moving boundary simulation, cellular simulation and fixed topology simulation soch as boundary-value simulation and network simulation (network flow simulation, Petri-net simulation, bond-graph simulation) based on spatial distribution of models; - simulation with fixed organization models (soch as simulation with hierarchical models) and simulation with variable organization models (i.e., autopoietic simulation) soch as metamorphic simulation, simulation with self-organizating models, simulation with self learning models, evolutionary simulation based on orgCl''lization of component models; - state-maintaining simulation, behaviorally adaptive simulation, goal-seeking simulation, purposive simulation, purposeful simulation, ideal-seeking simulation based on goal(s) to be pursued by the model; - trajectory simulation, stroctural simulation, real-time simulation, predictive simulation, prescriptive simulation, intermittent simulation (such as regenerative simulation, opti mizing simulation, gaming simulation, conferencing simulation, on-line simulation) based on nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can be 672 pp. Englisch. Bestandsnummer des Verkäufers 9783642821462
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Simulation and Model-Based Methodologies: An Integrative View (NATO ASI Subseries F:)
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Simulation and Model-Based Methodologies: An Integrative View (NATO ASI Subseries F:)
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Simulation and Model-Based Methodologies: An Integrative View (Nato Asi Series (Closed) / Nato Asi Subseries F: (Closed))
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Simulation and Model-Based Methodologies: An Integrative View (Nato ASI Subseries F: (10))
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