Page 204 -

9 Verifying and Validating Simulations 201

Amblard, F., Bommel, P., & Rouchier, J. (2007). Assessment and validation of multi-agent models.
In Agent-based modelling and simulation in the social and human sciences (pp. 93–116).
Oxford: Bardwell Press. http://agritrop.cirad.fr/541339/
Amorim, R. C., Castro, J. A., Silva, J. Rd., & Ribeiro, C. (2015). A comparative study of
platforms for research data management: Interoperability, metadata capabilities and integration
potential. In New contributions in information systems and technologies (pp. 101–111). Cham:
Springer. doi:10.1007/978-3-319-16486-1_10, https://link.springer.com/chapter/10.1007/978-
3-319-16486-1_10
Arai, R., & Watanabe, S. (2008). A quantitative method for comparing multi-agent-based simu-
lations in feature space. In Multi-agent-based simulation IX (pp.154–166). Berlin/Heidelberg:
Springer. doi:10.1007/978-3-642-01991-3_12, https://link.springer.com/chapter/10.1007/978-
3-642-01991-3_12
Assante, M., Candela, L., Castelli, D., & Tani, A. (2016). Are scientific data repositories coping
with research data publishing? Data Science Journal, 15, 6. doi:10.5334/dsj-2016-006, http://
datascience.codata.org/articles/10.5334/dsj-2016-006/
Axelrod, R. (1993). A Model of the Emergence of New Political Actors. Working paper 93-11-
068, Santa Fe Institute. https://www.santafe.edu/research/results/working-papers/a-model-of-
the-emergence-of-new-political-actors
Axelrod, R. (1997a). Advancing the art of simulation in the social sciences. In D. R. Conte,
P. D. R. Hegselmann, & P. D. P. Terna (Eds.), Simulating Social Phenomena. Lecture
notes in economics and mathematical systems (Vol. 456, pp. 21–40). Berlin/Heidelberg:
Springer. doi:10.1007/978-3-662-03366-1_2, http://link.springer.com/chapter/10.1007/978-3-
662-03366-1_2
Axelrod, R. (1997b). The dissemination of culture: A model with local convergence
and global polarization. Journal of Conflict Resolution, 41(2), 203–226.
doi:10.1177/0022002797041002001, http://dx.doi.org/10.1177/0022002797041002001
Axtell, R., Axelrod, R., Epstein, J. M., & Cohen, M. D. (1996). Aligning simulation models: A
case study and results. Computational & Mathematical Organization Theory, 1(2), 123–141.
doi:10.1007/BF01299065, https://link.springer.com/article/10.1007/BF01299065
Balci, O., & Sargent, R. G. (1984). Validation of simulation models via simultaneous confidence
intervals. American Journal of Mathematical and Management Sciences, 4(3–4), 375–406.
doi:10.1080/01966324.1984.10737151, http://dx.doi.org/10.1080/01966324.1984.10737151
Barreteau, O., Bots, P., Daniell, K., Etienne, M., Perez, P., Barnaud, C., et al. (2017). Participatory
approaches. doi:https://doi.org/10.1007/978-3-319-66948-9_12.
Barreteau, O., Bots, P., Daniell, K., Etienne, M., Perez, P., Barnaud, C., et al. (2017). Participatory
approaches. In B. Edmonds & R. Meyer (Eds.), Simulating social complexity. Understanding
complex systems (2nd ed.). Berlin/Heidelberg: Springer. doi:10.1007/978-3-319-66948-9_12
Boero, R., & Squazzoni, F. (2005). Does empirical embeddedness matter? Methodological issues
on agent-based models for analytical social science. Journal of Artificial Societies and Social
Simulation, 8(4), 6. http://jasss.soc.surrey.ac.uk/8/4/6.html
Calvez, B., & Hutzler, G. (2005). Automatic tuning of agent-based models using genetic
algorithms. In Multi-agent-based simulation VI (pp. 41–57). Berlin/Heidelberg: Springer.
doi:10.1007/11734680_4, https://link.springer.com/chapter/10.1007/11734680_4
Collier, N., & North, M. (2013). Parallel agent-based simulation with repast for high performance
computing. Simulation, 89(10), 1215–1235. doi:10.1177/0037549712462620, http://journals.
sagepub.com/doi/abs/10.1177/0037549712462620
David, N. (2009). Validation and verification in social simulation: patterns and clarification
of terminology. In Epistemological aspects of computer simulation in the social sciences
(pp. 117–129). Berlin/Heidelberg: Springer. doi:10.1007/978-3-642-01109-2_9, https://link.
springer.com/chapter/10.1007/978-3-642-01109-2_9
David, N., Marietto, M. B., Sichman, J. S., & Coelho, H. (2004). The structure and logic of
interdisciplinary research in agent-based social simulation. Journal of Artificial Societies and
Social Simulation, 7(3), 4. http://jasss.soc.surrey.ac.uk/7/3/4.html