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181201 ||| eng |
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|a 9783030019389
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| 100 |
1 |
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|a Stepney, Susan
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| 245 |
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|a Engineering Simulations as Scientific Instruments: A Pattern Language
|h Elektronische Ressource
|b With Kieran Alden, Paul S. Andrews, James L. Bown, Alastair Droop, Richard B. Greaves, Mark Read, Adam T. Sampson, Jon Timmis, Alan F.T. Winfield
|c by Susan Stepney, Fiona A.C. Polack
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| 250 |
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|a 1st ed. 2018
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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| 300 |
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|a XII, 355 p. 51 illus., 39 illus. in color
|b online resource
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| 505 |
0 |
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|a Part I, Overview of the CoSMoS Approach -- CoSMoS: Rationale and Concepts -- What’s In It for Me? -- The CoSMoS Approach in Miniature -- Part II, The Core CoSMoS Pattern Language -- The CoSMoS Simulation Pattern -- Discovery Phase Patterns: Building the Domain Model -- Development Phase Patterns: Developing the Platform -- Exploration Phase Patterns: Using the Platform -- Structured Argumentation Patterns -- Part III, The CoSMoS Helper Patterns -- Modelling and Documentation Patterns -- Real-World Simulation Patterns -- Part IV, CellBranch Case Study -- Introduction to the CellBranch Simulation -- CellBranch: Increment 1: Single Transcription Factor -- CellBranch: Increment 1: Discovery Phase -- CellBranch: Increment 1: Development Phase -- CellBranch: Increment 1: Exploration Phase -- CellBranch: Increment 2: Multiple Transcription Factors -- CellBranch: Increment 2: Discovery Phase -- CellBranch: Increment 2: Development Phase -- CellBranch: Increment 2: Exploration Phase -- CellBranch: Lessons and Code.
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| 653 |
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|a Computer simulation
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| 653 |
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|a Engineering design
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| 653 |
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|a Simulation and Modeling
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| 653 |
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|a Engineering Design
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| 700 |
1 |
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|a Polack, Fiona A.C.
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-01938-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 003.3
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| 520 |
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|a This book describes CoSMoS (Complex Systems Modelling and Simulation), a pattern-based approach to engineering trustworthy simulations that are both scientifically useful to the researcher and scientifically credible to third parties. This approach emphasises three key aspects to this development of a simulation as a scientific instrument: the use of explicit models to capture the scientific domain, the engineered simulation platform, and the experimental results of running simulations; the use of arguments to provide evidence that the scientific instrument is fit for purpose; and the close co-working of domain scientists and simulation software engineers. In Part I the authors provide a managerial overview: the rationale for and benefits of using the CoSMoS approach, and a small worked example to demonstrate it in action. Part II is a catalogue of the core patterns. Part III lists more specific “helper” patterns, showing possible routes to a simulation. Finally Part IV documents CellBranch, a substantial case study developed using the CoSMoS approach
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