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David, N., Fachada, N. & Rosa, A. C. (2017). Verifying and validating simulations. In       Bruce Edmonds and Ruth Meyer (Ed.), Simulating social complexity. Understanding complex systems. (pp. 173-204). Cham: Springer.

N. M. David et al.,  "Verifying and validating simulations", in Simulating social complexity. Understanding complex systems,       Bruce Edmonds and Ruth Meyer, Ed., Cham, Springer, 2017, pp. 173-204

@incollection{david2017_1775212328384,
	author = "David, N. and Fachada, N. and Rosa, A. C.",
	title = "Verifying and validating simulations",
	chapter = "",
	booktitle = "Simulating social complexity. Understanding complex systems",
	year = "2017",
	volume = "",
	series = "",
	edition = "",
	pages = "173-173",
	publisher = "Springer",
	address = "Cham",
	url = "https://link.springer.com/chapter/10.1007%2F978-3-319-66948-9_9"
}

TY  - CHAP
TI  - Verifying and validating simulations
T2  - Simulating social complexity. Understanding complex systems
AU  - David, N.
AU  - Fachada, N.
AU  - Rosa, A. C.
PY  - 2017
SP  - 173-204
DO  - 10.1007/978-3-319-66948-9_9
CY  - Cham
UR  - https://link.springer.com/chapter/10.1007%2F978-3-319-66948-9_9
AB  - Abstract Veri?cation and validation are two important aspects of model building. Veri?cation and validation compare models with observations and descriptions of the problem modelled, which may include other models that have been veri?ed and validated to some level. However, the use of simulation for modelling social complexity is very diverse. Often, veri?cation and validation do not refer to an explicit stage in the simulation development process, but to the modelling process itself, according to good practices and in a way that grants credibility to using the simulation for a speci?c purpose. One cannot consider veri?cation and validation without considering the purpose of the simulation. This chapter deals with a comprehensive outline of methodological perspectives and practical uses of veri?cation and validation. The problem of evaluating simulations is addressed in four main topics: (1) the meaning of the terms veri?cation and validation in the context of simulating social complexity; (2) types of validation, as well as techniques for validating simulations; (3) model replication and comparison as cornerstones of veri?cation and validation; and (4) the relationship of various validation types and techniques with different modelling strategies.
ER  -