Engineering Simulations as Scientific Instruments: A Pattern Language 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
Título:
Engineering Simulations as Scientific Instruments: A Pattern Language 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
ISBN:
9783030019389
Autor personal:
Edición:
1st ed. 2018.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2018.
Descripción física:
XII, 355 p. 51 illus., 39 illus. in color. online resource.
Contenido:
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. .
Síntesis:
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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Acceso electrónico:
Full Text Available From Springer Nature Computer Science 2018 Packages
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