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
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