Page 120 -
P. 120
116 P.-O. Siebers and F. Klügl
Organisational complexity (pp. 56–77). Turku: Tutu Publications. Finland Futures Research
Centre, Turku School of Economics and Business Administration.
Moyo, D., Ally, A. K., Brennan, A., Norman, P., Purshouse, R. C., & Strong, M. (2015). Agile
development of an attitude-behaviour driven simulation of alcohol consumption dynamics.
Journal of Artificial Societies and Social Simulation, 18(3), 10. http://jasss.soc.surrey.ac.uk/
18/3/10.html
Nikolai, C., & Madey, G. (2008). Tools of the trade: A survey of various agent based
modeling platforms. Journal of Artificial Societies and Social Simulation, 12(2), 2. http://
jasss.soc.surrey.ac.uk/12/2/2.html
Norling, E. (2003). Capturing the quake player: Using a BDI agent to model human behaviour.
In J. S. Rosenschein, T. Sandholm, M. Wooldridge, & M. Yokoo, Proceedings of the 2nd
international joint conference on autonomous agents and multiagent systems (AAMAS),
Melbourne (pp. 1080–1081). New York: ACM.
Norling, E., Edmonds, B., & Meyer, R. (2017). Informal approaches to developing simulation
models. doi:https://doi.org/10.1007/978-3-319-66948-9_5.
North, M. J., Macal, C. M. (2011, December 11–14). Product design patterns for agent-based
modeling. In S. Jain,R.Creasey,J.Himmelspach,K.P.White,M.C.Fu, Proc. of the Winter
Simulation Conference (WSC ‘11) (pp. 3087–3098).
Odell, J., Parunak, H. V. D., & Bauer, B. (2000). Extending UML for agents. In Y. Lesperance, E.
Yu, Proc. of the agent-oriented information systems workshop at the 17th NCAI (pp. 3–17).
Ostrom, E. (2005). Understanding institutional diversity. Princeton, NJ: Princeton University
Press.
Ozik, J., Collier, N., Combs, T., Macal, C. M., & North, M. (2015). Repast Simphony Statecharts.
Journal of Artificial Societies and Social Simulation, 18(3), 11. http://jasss.soc.surrey.ac.uk/18/
3/11.html
Pyritz, B. (2003). Craftsmanship versus engineering: Computer programming — An art or a
science? Bell Labs Technical Journal, 8, 101–104.
Railsback, S. F., & Lytinen, S. L. (2006). Agent-based simulation platforms: review and develop-
ment recommendations. SIMULATION, 82, 609–623.
Richiardi, M., Leombruni, R., Saam, N. J., & Sonnessa, M. (2006). A common protocol for agent-
based social simulation. Journal of Artificial Societies and Social Simulation, 9(1), 15. http://
jasss.soc.surrey.ac.uk/9/1/15.html
Robinson, S. (2004). Simulation: The practice of model development and use. Chichester: Wiley.
Rossiter, S. (2015). Simulation design: Trans-paradigm best-practice from software engineering.
Journal of Artificial Societies and Social Simulation, 18(3), 9. http://jasss.soc.surrey.ac.uk/18/
3/9.html
Scherer, S., Wimmer, M., Lotzmann, U., Moss, S., & Pinotti, D. (2015). Evidence based and
conceptual model driven approach for agent-based policy modelling. Journal of Artificial
Societies and Social Simulation, 18(3), 14. http://jasss.soc.surrey.ac.uk/18/3/14.html
Shannon, R. E. (1998). Introduction to the art and science of simulation. D. J. Medeiros, E.
F. Watson, J. S. Carson, M. S. Mannivannan, Proceedings of the 1998 Winter Simulation
Conference (pp. 7–14).
Siebers, P. O., & Davidsson, P. (2015). Engineering agent-based social simulations: An introduc-
tion (Special Issue Editorial). Journal of Artificial Societies and Social Simulation, 18(3), 13.
http://jasss.soc.surrey.ac.uk/18/3/13.html
Siebers, P. O., & Aickelin, U. (2011). A first approach on modelling staff proactiveness in retail
simulation models. Journal of Artificial Societies and Social Simulation, 14(2), 2. http://
jasss.soc.surrey.ac.uk/14/2/2.html
Siebers, P. O., Onggo, B. S. S. (2014). Graphical representation of agent-based models in
operational research and management science using UML. In Proc. Of the operational research
society simulation workshop 2014 (SW14) (pp. 143–155).
Siebers, P. O., Figueredo, G. P., Hirono, M., & Skatova, A. (2017). Developing agent-based simu-
lation models for social systems engineering studies: A novel framework and its application to