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              For readers more interested in single aspects of V&V, with regard to ABMs with
            applicability in social simulation, the following papers provide highly accessible
            starting points:
            – Edmonds and Hales (2003) demonstrate the importance of model replication (or
              model alignment) by means of a clear example.
            – Boero and Squazzoni (2005) examine the use of empirical data for model
              calibration and validation and argue that “the characteristics of the empirical
              target” influence the choice of validation strategies.
            – Moss and Edmonds (2005) discuss an approach for cross-validation that com-
              bines the involvement of stakeholders to validate the model qualitatively on the
              micro level with the application of statistical measures to numerical outputs to
              validate the model quantitatively on the macro level.
            – Müller et al. (2014) address the question of whether an ideal standard for
              describing and documenting models exists, defining different types of model
              reporting and proposing a minimum description standard for good modelling
              practice.
            – Lee et al. (2015) provide an overview of the state-of-the-art approaches in
              analysing and reporting ABM outputs, highlighting challenges and issues related
              to variance stability, sensitivity analysis, spatio-temporal analysis, visualisation,
              and effective communication of these to non-technical audiences, such as various
              stakeholders.
            – Fachada et al. (2017) Present a structured approach to designing and per-
              forming complete model comparison experiments, using statistical tests to
              determine if two or more computational models generate distributionally equiv-
              alent behaviour.
            – Finally, more comprehensive epistemological perspectives on verification and
              validation are provided in a number of papers published or derived from the
              Epistemological Perspectives on Simulation (EPOS) workshops, namely Frank
              and Troitzsch (2005), David (2009), Squazzoni (2009) and David et al. (2010).


            Acknowledgements This work was partially funded by the Fundação para a Ciência e a
            Tecnologia project UID/EEA/50009/2013.



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