Abstract
In dealing with the energy challenges that our societies face (dwindling fossil resources, price uncertainty, carbon emissions), we increasingly fall back on system designs that transcend the boundaries of firms, industrial parks or even countries. Whereas from the drawing board the challenges of integrating energy networks already seem daunting, the inclusion of different stakeholders in a process of setting up large energy systems is excruciatingly complex and ripe with uncertainty.
New directions in risk assessment and adaptive policy making do not attempt to ‘solve’ risk, uncertainty or complexity, but to provide researchers and decision makers with tools to handle the lack of certitude. After delving into the intricacies of cooperation, this paper addresses two approaches to clarify the complexity of cooperation: agent-based simulation and serious games. Both approaches have advantages and disadvantages in terms of the phenomena that can be captured. By comparing the outcomes of the approaches new insights can be gained.
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References
Agusdinata, D.B.: Exploratory Modeling and analysis: a promising method to deal with deep uncertainty. PhD thesis, Delft University of Technology (2008)
Anderson, P.: Complexity theory and organization science. Organization Science 10(3), 216–232 (1999)
Axelrod, R.: The complexity of cooperation. Princeton University Press, Princeton (1997)
Bankes, S.: Tools and techniques for developing policies for complex and uncertain systems. PNAS 99, 7263–7266 (2002)
Barkow, J.H., Cosmides, L., Tooby, J. (eds.): The adapted mind - evolutionary psychology and the generation of culture. Oxford University Press, New York (1992)
Beck, J., Kempener, R., Cohen, B., Petrie, J.: A complex systems approach to planning, optimization and decision making for energy networks. Energy Policy 36, 2803–2813 (2008)
Colman, A.M.: The puzzle of cooperation. Nature 440, 745–746 (2006)
de Jong, K.: Warmte in Nederland; Warmte- en koudeprojecten in de praktijk. Uitgeverij MGMC (2010)
Duke, R.D.: A paradigm for game design. Simulation & Games 11(3), 364–377 (1980)
Faria, A., Hutchinson, D., Wellington, W.J., Gold, S.: Developments in business gaming: A review of the past 40 years. Simulation Gaming 40, 464 (2009)
Fioretti, G.: Agent based models of industrial clusters and districts (March 2005)
Garner, A., Keoleian, G.A.: Industrial ecology: an introduction. Technical report, National Pollution Prevention Center for Higher Education, University of Michigan, Ann Arbor, MI, USA (November 1995)
Herder, P.M., Stikkelman, R.M., Dijkema, G.P., Correljé, A.F.: Design of a syngas infrastructure. In: Braunschweig, B., Joulia, X. (eds.) 18th European Symposium on Computer Aided Process Engineering, ESCAPE 18. Elsevier (2008)
Kohler, T.A.: Putting social sciences together again: an introduction to the volume. In: Dynamics in Human and Primate Societies. Santa Fe Institute studies in the sciences of complexity. Oxford University Press, Oxford (2000)
Lazarus, J.: Let’s cooperate to understand cooperation. Behavioral and Brain Sciences 26, 139–198 (2003)
Lee, D.B.: Requiem for large-scale models. Journal of the American Institute of Planners 39(3) (1973)
Ligtvoet, A.: Cooperation as a complex, layered phenomenon. In: Eighth International Conference on Complex Systems, June 26-July 1 (2011)
Ligtvoet, A., Chappin, E., Stikkelman, R.: Modelling cooperative agents in infrastructure networks. In: Ernst, A., Kuhn, S. (eds.) Proceedings of the 3rd World Congress on Social Simulation, WCSS 2010, Kassel, Germany (2010)
Mayer, I.S.: The gaming of policy and the politics of gaming: A review. Simulation & Gaming X, 1–38 (2009)
Meadows, D.H., Robinson, J.M.: The electronic oracle: computer models and social decisions. System Dynamics Review 18(2), 271–308 (2002)
Meadows, D.L.: Learning to be simple: My odyssey with games. Simulation Gaming 30, 342–351 (1999); Meadows 1999a
Meijer, I.S., Hekkert, M.P., Koppenjan, J.F.: The influence of perceived uncertainty on entrepreneurial action in emerging renewable energy technology; biomass gasification projects in the Netherlands. Energy Policy 35, 5836–5854 (2007)
Nielsen, R.P.: Cooperative strategy. Strategic Management Journal 9, 475–492 (1988)
Nikolić, I.: Co-Evolutionary Process For Modelling Large Scale Socio-Technical Systems Evolution. PhD thesis, Delft University of Technology, Delft, The Netherlands (2009)
Nowak, M.A.: Five rules for the evolution of cooperation. Science 314, 1560–1563 (2006)
Pavard, B., Dugdale, J.: The Contribution Of Complexity Theory To The Study Of Socio-Technical Cooperative Systems. In: Proceedings from the Third International Conference on Unifying Themes in Complex Systems. New Research, vol. III B, pp. 39–48. Springer, Heidelberg (2006)
Roberts, G., Sherratt, T.N.: Cooperative reading: some suggestions for the integration of cooperation literature. Behavioural Processes 76, 126–130 (2007)
Rotmans, J., Kemp, R., van Asselt, M.: More evolution than revolution: transition management in public policy. Foresight 3(1), 15–31 (2001)
Schieritz, N., Milling, P.M.: Modeling the forest or modeling the trees: A comparison of system dynamics and agent-based simulation. In: 21st International Conference of the System Dynamics Society, New York, Mannheim, Germany (2003)
Simon, F.B.: Einführung in die systemische Organisationstheorie. Carl-Auer Verlag, Heidelberg (2007)
van Dam, K.H.: Capturing socio-technical systems with agent-based modelling. PhD thesis, Delft University of Technology, Delft, The Netherlands (2009)
Wierzbicki, A.P.: Modelling as a way of organising knowledge. European Journal of Operational Research 176, 610–635 (2007)
Williamson, O.E.: Transaction cost economics: how it works; where it is headed. De Economist 146(1), 23–58 (1998)
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Ligtvoet, A., Herder, P.M. (2012). Simulation and Gaming for Understanding the Complexity of Cooperation in Industrial Networks. In: Hammami, O., Krob, D., Voirin, JL. (eds) Complex Systems Design & Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25203-7_5
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DOI: https://doi.org/10.1007/978-3-642-25203-7_5
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