By Cilli Sobiech

ISBN-10: 3642323642

ISBN-13: 9783642323645

ISBN-10: 3642323650

ISBN-13: 9783642323652

This thesis constitutes a rare leading edge study method in moving the ideas and techniques of advanced structures to possibility examine. It ambitiously bridges the limitations among theoretical, empirical and methodical examine paintings and integrates those fields into one entire technique of facing uncertainty in socio-ecological structures. The built agent-based simulation goals on the dynamics of social vulnerability within the thought of process of the German North coastline. therefore, the social simulation presents an analytical technique to discover the person, relational, and spatial facets resulting in dynamics of vulnerability in society. Combining complexity technology and hazard study via the strategy of agent-based simulation hereby emphasizes the significance of knowing interrelations contained in the method for the system's improvement, i.e. for the evolving. in accordance with a vulnerability review relating to vulnerability features, current chance habit and self-protection personal tastes of non-public families opposed to the affects of flooding and typhoon surges, attainable process trajectories should be explored through simulation experiments. The system-analytical method as a result contributes to an built-in attention of multi-dimensional and context-sensitv social phenomena equivalent to vulnerability. additionally it achieves conceptually and strategically suitable implications for hazard learn and complicated structures research.

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Extra resources for Agent-Based Simulation of Vulnerability Dynamics: A Case Study of the German North Sea Coast

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Philosophy and methodology of the social sciences Vol 23. Kluwer Academic Publisher, Dordrecht, pp 77–100 Hofstede J (2004) A new coastal defence master plan for Schleswig-Holstein. In: Schernewski G, Dolch T (eds) Geographie der Meere und Küsten. pdf. Accessed 30 May 2011 Janssen M (2002) Modeling human dimensions of global environmental change. pdf. Accessed 10 Feb 2011 28 2 Research Design Janssen MA,Ostrom E (2006) Empirically based, agent-based models. Ecol Soc 11(2):37. org/vol11/iss2/art37/.

Band 2 Logos, Berlin Rossiter S, Noble J, Bell KRW (2010) Social simulations: improving interdisciplinary understanding of scientific positioning and validity. J Artif Soc Soc Simul 13(1):10. http://jasss. html. Accessed 10 Feb 2011 References 29 Schleswig-Holsteinischer Landtag (2009a) Bilanz und Zukunft des Küstenschutzes in Schleswig-Holstein an Nord- und Ostsee. Antwort der Landesregierung 16/2403. pdf. Accessed 30 May 2011 Schmidt B (2000) The modelling of human behaviour. SCS Publications, Erlangen Seidl R (2009) Eine Multi-Agentensimulation der Wahrnehmung wasserbezogener Klimarisiken (Dissertation).

Mainzer 2007, 2008; Helbing 2007, 2010; Gell-Mann 1995; O’Sullivan 2004, 2008; Thrift 1999; Byrne 1998, 2005; Casti 1994). Mainzer (2007, p. 1) describes “thinking in complexity” as an interdisciplinary methodology which further spread out to practices outside science. It was recognised, that complex phenomena cannot be explained by single disciplines but require an interdisciplinary understanding (Mitchell 2009). Such complex phenomena are for example weather and climate, global environmental pollution, the functioning of the brain or economic, political and social systems.

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Agent-Based Simulation of Vulnerability Dynamics: A Case Study of the German North Sea Coast by Cilli Sobiech


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