What Is Validation of Computer Simulations? Toward a Clarification of the Concept of Validation and of Related Notions
C. Beisbart. Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, Springer International Publishing, Cham, (2019)
DOI: 10.1007/978-3-319-70766-2_2
Abstract
This chapter clarifies the concept of validation of computer simulations by comparing various definitions that have been proposed for the notion. While the definitions agree in taking validation to be an evaluationEvaluation, they differ on the following questions: (1) What exactly is evaluated—results from a computer simulation, a model, a computer codeCode? (2) What are the standardsStandardof evaluationEvaluation––truthTruth, accuracyAccuracy, and credibilityCredibilityor also something else? (3) What type of verdict does validation lead to––that the simulation is such and such good, or that it passes a testTestdefined by a certain threshold? (4) How strong needs the case to be for the verdict? (5) Does validation necessarily proceed by comparing simulation outputsOutputwith measured dataData? Along with these questions, the chapter explains notions that figure prominently in them, e.g., the concepts of accuracy and credibility. It further discusses natural answers to the questions as well as arguments that speak in favor and against these answers. The aim is to obtain a better understandingUnderstandingof the options we have for defining validation and how they are related to each other.
%0 Book Section
%1 Beisbart2019What
%A Beisbart, Claus
%B Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives
%C Cham
%D 2019
%E Beisbart, Claus
%E Saam, Nicole J.
%I Springer International Publishing
%K
%P 35--67
%R 10.1007/978-3-319-70766-2_2
%T What Is Validation of Computer Simulations? Toward a Clarification of the Concept of Validation and of Related Notions
%X This chapter clarifies the concept of validation of computer simulations by comparing various definitions that have been proposed for the notion. While the definitions agree in taking validation to be an evaluationEvaluation, they differ on the following questions: (1) What exactly is evaluated—results from a computer simulation, a model, a computer codeCode? (2) What are the standardsStandardof evaluationEvaluation––truthTruth, accuracyAccuracy, and credibilityCredibilityor also something else? (3) What type of verdict does validation lead to––that the simulation is such and such good, or that it passes a testTestdefined by a certain threshold? (4) How strong needs the case to be for the verdict? (5) Does validation necessarily proceed by comparing simulation outputsOutputwith measured dataData? Along with these questions, the chapter explains notions that figure prominently in them, e.g., the concepts of accuracy and credibility. It further discusses natural answers to the questions as well as arguments that speak in favor and against these answers. The aim is to obtain a better understandingUnderstandingof the options we have for defining validation and how they are related to each other.
%@ 978-3-319-70766-2
@incollection{Beisbart2019What,
abstract = {This chapter clarifies the concept of validation of computer simulations by comparing various definitions that have been proposed for the notion. While the definitions agree in taking validation to be an evaluationEvaluation, they differ on the following questions: (1) What exactly is evaluated{\textemdash}results from a computer simulation, a model, a computer codeCode? (2) What are the standardsStandardof evaluationEvaluation{\textendash}{\textendash}truthTruth, accuracyAccuracy, and credibilityCredibilityor also something else? (3) What type of verdict does validation lead to{\textendash}{\textendash}that the simulation is such and such good, or that it passes a testTestdefined by a certain threshold? (4) How strong needs the case to be for the verdict? (5) Does validation necessarily proceed by comparing simulation outputsOutputwith measured dataData? Along with these questions, the chapter explains notions that figure prominently in them, e.g., the concepts of accuracy and credibility. It further discusses natural answers to the questions as well as arguments that speak in favor and against these answers. The aim is to obtain a better understandingUnderstandingof the options we have for defining validation and how they are related to each other.},
added-at = {2024-01-29T00:56:06.000+0100},
address = {{Cham}},
author = {Beisbart, Claus},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ce601d5c7c4b84feee8b3e2783a57a6f/openscience},
booktitle = {Computer {{Simulation Validation}}: {{Fundamental Concepts}}, {{Methodological Frameworks}}, and {{Philosophical Perspectives}}},
doi = {10.1007/978-3-319-70766-2_2},
editor = {Beisbart, Claus and Saam, Nicole J.},
file = {/Users/sibyllehermann/Zotero/storage/TN8P5UKV/Beisbart - 2019 - What is Validation of Computer Simulations Toward.pdf},
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intrahash = {ce601d5c7c4b84feee8b3e2783a57a6f},
isbn = {978-3-319-70766-2},
keywords = {},
langid = {english},
pages = {35--67},
publisher = {{Springer International Publishing}},
series = {Simulation {{Foundations}}, {{Methods}} and {{Applications}}},
shorttitle = {What Is {{Validation}} of {{Computer Simulations}}?},
timestamp = {2024-01-29T00:56:06.000+0100},
title = {What Is {{Validation}} of {{Computer Simulations}}? {{Toward}} a {{Clarification}} of the {{Concept}} of {{Validation}} and of {{Related Notions}}},
urldate = {2023-03-10},
year = 2019
}
