The Resource Computer Simulation Validation : Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, edited by Claus Beisbart, Nicole J. Saam, (electronic resource)

Computer Simulation Validation : Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, edited by Claus Beisbart, Nicole J. Saam, (electronic resource)

Label
Computer Simulation Validation : Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives
Title
Computer Simulation Validation
Title remainder
Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives
Statement of responsibility
edited by Claus Beisbart, Nicole J. Saam
Contributor
Editor
Editor
Provider
Subject
Language
eng
Summary
This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: Introduces the fundamental concepts and principles related to the validation of computer simulations, and examines philosophical frameworks for thinking about validation Provides an overview of the various strategies and techniques available for validating simulations, as well as the preparatory steps that have to be taken prior to validation Describes commonly used reference points and mathematical frameworks applicable to simulation validation Reviews the legal prescriptions, and the administrative and procedural activities related to simulation validation Presents examples of best practice that demonstrate how methods of validation are applied in various disciplines and with different types of simulation models Covers important practical challenges faced by simulation scientists when applying validation methods and techniques Offers a selection of general philosophical reflections that explore the significance of validation from a broader perspective This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text. Prof. Dr. Dr. Claus Beisbart is Professor for Philosophy of Science (Extraordinarius) in the Institute for Philosophy at the University of Bern, Switzerland. Prof. Dr. Nicole J. Saam is Professor for Sociology (Chair) in the Institute of Sociology at Friedrich-Alexander University Erlangen-Nürnberg, Germany
Member of
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • yVJqG7NrgcA
  • q1iH-cFiZ6Q
Image bit depth
0
LC call number
QA76.9.C65
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Beisbart, Claus.
  • Saam, Nicole J.
  • SpringerLink
Series statement
Simulation Foundations, Methods and Applications,
http://library.link/vocab/subjectName
  • Computer simulation
  • Computer system performance
  • Science
  • Simulation and Modeling
  • System Performance and Evaluation
  • Mathematical Applications in Computer Science
  • Philosophy of Science
Label
Computer Simulation Validation : Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, edited by Claus Beisbart, Nicole J. Saam, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Part I: Foundations - Basic Conceptions in Simulation Model Validation -- What Is Validation of Computer Simulations? -- Simulation Accuracy, Uncertainty, and Predictive Capability -- Verification and Validation Principles from a Systems Perspective -- Errors and Uncertainties -- Part II: Foundations - Validation as a Scientific Method: Philosophical Frameworks for Thinking about Validation -- Invalidation of Models and Fitness-for-purpose -- Simulation Validation from a Bayesian Perspective -- Validation of Computer Simulations from a Kuhnian Perspective -- Understanding Simulation Validation -- Part III: Methodology - Preparatory Steps -- Assessing the Credibility of Conceptual Models -- The Foundations of Verification in Modeling and Simulation -- The Method of Manufactured Solutions for Code Verification -- Validation Metrics: A Case for Pattern-based Methods -- Analyzing Output from Stochastic Computer Simulations -- Part IV: Methodology - Points of Reference and Related Techniques -- The Use of Experimental Data in Simulation Model Validation -- How to Use and Derive Stylized Facts for Validating Simulation Models -- The Users' Judgements -- Validation Benchmarks and Related Metrics -- Part V: Methodology - Mathematical Frameworks and Related Techniques -- Testing Simulation Models Using Frequentist Statistics -- Validation Using Bayesian Methods -- Imprecise Probabilities -- Objective Uncertainty Quantification -- Part VI: Methodology - The Organization and Management of Simulation Validation -- Standards for Evaluation of Atmospheric Models in Environmental Meteorology -- The Management of Simulation Validation -- Valid and Reproducible Simulation Studies -- Part VII: Validation at Work - Best Practice-Examples -- Validation of Particle Physics Simulation -- Validation in Fluid Dynamics and Related Fields -- Astrophysical Validation -- Validation in Weather Forecasting -- Validation of Climate Models: An Essential Practice -- Validation of Agent-based Models in Economics and Finance -- Part VIII: Challenges in Simulation Model Validation -- Validation and Equifinality -- Validation and Overparameterization -- Uncertainty Quantification Using Multiple Models -- Challenges to Simulation Validation in the Social Sciences -- Validation and the Uniqueness of Historical Events -- Part IX: Reflecting on Simulation Validation: Philosophical Perspectives and Discussion Points -- What Is a Computer Simulation and What Does This Mean for Simulation Validation? -- How Do the Validations of Simulations and Experiments Compare? -- How Does Holism Challenge the Validation of Computer Simulation? -- What Types of Values Enter Simulation Validation and What are Their Roles? -- Calibration, Validation, and Confirmation -- Should Validation and Verification Be Separated Strictly? -- The Multi-Dimensional Epistemology of Computer Simulations
Dimensions
unknown
Extent
XIII, 1074 p. 105 illus., 58 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319707662
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-70766-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-70766-2
Label
Computer Simulation Validation : Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, edited by Claus Beisbart, Nicole J. Saam, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Part I: Foundations - Basic Conceptions in Simulation Model Validation -- What Is Validation of Computer Simulations? -- Simulation Accuracy, Uncertainty, and Predictive Capability -- Verification and Validation Principles from a Systems Perspective -- Errors and Uncertainties -- Part II: Foundations - Validation as a Scientific Method: Philosophical Frameworks for Thinking about Validation -- Invalidation of Models and Fitness-for-purpose -- Simulation Validation from a Bayesian Perspective -- Validation of Computer Simulations from a Kuhnian Perspective -- Understanding Simulation Validation -- Part III: Methodology - Preparatory Steps -- Assessing the Credibility of Conceptual Models -- The Foundations of Verification in Modeling and Simulation -- The Method of Manufactured Solutions for Code Verification -- Validation Metrics: A Case for Pattern-based Methods -- Analyzing Output from Stochastic Computer Simulations -- Part IV: Methodology - Points of Reference and Related Techniques -- The Use of Experimental Data in Simulation Model Validation -- How to Use and Derive Stylized Facts for Validating Simulation Models -- The Users' Judgements -- Validation Benchmarks and Related Metrics -- Part V: Methodology - Mathematical Frameworks and Related Techniques -- Testing Simulation Models Using Frequentist Statistics -- Validation Using Bayesian Methods -- Imprecise Probabilities -- Objective Uncertainty Quantification -- Part VI: Methodology - The Organization and Management of Simulation Validation -- Standards for Evaluation of Atmospheric Models in Environmental Meteorology -- The Management of Simulation Validation -- Valid and Reproducible Simulation Studies -- Part VII: Validation at Work - Best Practice-Examples -- Validation of Particle Physics Simulation -- Validation in Fluid Dynamics and Related Fields -- Astrophysical Validation -- Validation in Weather Forecasting -- Validation of Climate Models: An Essential Practice -- Validation of Agent-based Models in Economics and Finance -- Part VIII: Challenges in Simulation Model Validation -- Validation and Equifinality -- Validation and Overparameterization -- Uncertainty Quantification Using Multiple Models -- Challenges to Simulation Validation in the Social Sciences -- Validation and the Uniqueness of Historical Events -- Part IX: Reflecting on Simulation Validation: Philosophical Perspectives and Discussion Points -- What Is a Computer Simulation and What Does This Mean for Simulation Validation? -- How Do the Validations of Simulations and Experiments Compare? -- How Does Holism Challenge the Validation of Computer Simulation? -- What Types of Values Enter Simulation Validation and What are Their Roles? -- Calibration, Validation, and Confirmation -- Should Validation and Verification Be Separated Strictly? -- The Multi-Dimensional Epistemology of Computer Simulations
Dimensions
unknown
Extent
XIII, 1074 p. 105 illus., 58 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319707662
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-70766-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-70766-2

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