Abstract
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
“Given the observation that processes are dealt with by all sorts of scientists, it is apparent that simulations prove to be a powerful interdisciplinary acknowledged tool. Accordingly, simulations are best suited to investigate the various research strategies in different sciences more carefully.” (Hartmann 1996, p. 77).
- 2.
In object-oriented programming objects are defined as computational entities that encapsulate some state (encapsulation), are able to perform actions (methods) on this state and communicate by message passing. Although agents and objects share obvious similarities, Wooldridge (2009, p. 28) examines significant differences concerning the notion of autonomy, the capability of flexible behaviour and the thread of control. Agents are something qualitative new but can be implemented by object-oriented programming techniques (Rölke 2004, p. 23).
References
Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50:179–211
Babbie E (2010) The practice of social research, 12th edn.Cengage Learning, Wadsworth
Becker J, Niehaves B, Klose K (2005) a framework for epistemological perspectives on simulation. J Artif Soc Soc Simul 8(4):1. http://jasss.soc.surrey.ac.uk/8/4/1.html. Accessed 10 Feb 2011
Billari FC, Fent T, Prskawetz A,Scheffran J (2006) Agent-based computational modelling: an introduction. In: Billari FC, Fent T, Prskawetz A, Scheffran J (eds) Agent-based computational modelling. applications in demography, social, economic and environmental sciences physica, Springer, Heidelberg, pp 1–16
BMVBS (2008) Hochwasserschutzfibel. Bauliche Schutz- und Vorsorgemaßnahmen in hochwassergefährdeten Gebieten. Bundesministerium für Verkehr, 2nd edn. Bau und Stadtentwicklung Federal (BMVBS) Berlin
Bossel H (2004) Systeme, Dynamik, Simulation. Modellbildung, Analyse und Simulation komplexer Systeme. Books on Demand, Norderstedt
Conte R, Edmonds B, Moss S, Sawyer RK (2001) Sociology and social theory in agent based social simulation: a symposium. In: Computational and mathematical organization theory 7, Kluwer Academic Publishers, Dordrecht, pp 183–205 http://www.springerlink.com/content/r056582566518236/fulltext.pdf. Accessed 14 Feb 2011
Creswell JW (2003) Research design. qualitative, quantitative, and mixed method approaches. 2nd edn. Sage Publications, Thousand Oaks/London/New Delhi
Diekmann A (2010) Empirische Sozialforschung. Grundlagen, Methoden, Anwendungen. 4th edn. Rowohlt Taschenbuch Verlag, Reinbek
Doran J (2006) Agent design for agent-based modelling. In: Billari FC, Fent T, Prskawetz A, Scheffran J (eds) Agent-based computational modelling. applications in demography, social, economic and environmental sciences. Physica, Heidelberg, pp 215–223
Edmonds B (2006) How are physical and social spaces related? cognitive agents as the necessary “glue”. In: Billari FC, Fent T, Prskawetz A, Scheffran J (eds) Agent-based computational modelling. applications in demography, social, economic and environmental sciences. Physica, Heidelberg, pp 195–214
Epstein JM (1999) Agent-based computational models and generative social science. Complexity 4(5):41–60. http://onlinelibrary.wiley.com/doi/10.1002/%28SICI%291099-0526%28199905/06%294:5%3C41::AID-CPLX9%3E3.0.CO;2-F/pdf. Accessed 10 Feb 2011
Ferber J (1999) Multi-agent systems. An introduction to distributed artificial intelligence. Addison-Wesley, Harlow
Frank U, Troitzsch KG (2005) Epistemological perspectives on simulation. J Artif Soc Soc Simul 8(4):7. http://jasss.soc.surrey.ac.uk/8/4/7.html. Accessed 10 Feb 2011
Gilbert N (2008) Agent-based models. Quantitative applications in the social sciences 153 Sage Publications, London
Gilbert N (2004) Agent-based social simulation: dealing with complexity. http://cress.soc.surrey.ac.uk/resources/ABSS%20-%20dealing%20with%20complexity-1-1.pdf. Accessed 14 Feb 2011
Gilbert N, Terna P (2000) How to build and use agent-based models in social science. Mind Soc 1(1):57–72
Gilbert N, Troitzsch KG (1999) Simulation for the social scientist. Open University Press, Buckingham/Philadelphia
Grimm V, Berger U, De Angelis DL, Polhill JG, Giske J, Railsback SF (2010) The ODD protocol: a review and first Update. Ecol Model 221:2760–2768
Grimm V et al. (2006) A standard protocol for describing individual-based and agent-based models. Ecol Model 198:115–126
Hartmann S (1996) The world as a process. In: Hegselmann R, Mueller U, Troitzsch KG (eds) Modelling in the social sciences from the philosophy of science point of view. 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. Coastline Reports 1/2004 109-117 EUCC The Coastal Union, Leiden/Netherlands http://www.sterr.geographie.uni-kiel.de/downloads/AMK2004_Artikel_gesamt.pdf. Accessed 30 May 2011
Janssen M (2002) Modeling human dimensions of global environmental change. In: Timmerman P (ed) Encyclopaedia of global environmental change, Vol 5 Wiley, Chichester, pp 394–408 http://www.public.asu.edu/~majansse/pubs/egec.pdf. Accessed 10 Feb 2011
Janssen MA,Ostrom E (2006) Empirically based, agent-based models. Ecol Soc 11(2):37. http://www.ecologyandsociety.org/vol11/iss2/art37/. Accessed 10 Feb 2011
Kaiser G, Reese S, Sterr H, Markau H-J (2004) Public perception of coastal flood defence and participation in coastal flood defence planning. Final report of subproject 3, COMRISK, Common Strategies to reduce the Risk of Storm Floods in Coastal Lowlands, Kiel
Knieling J, Schaerffer M, Tressl S (2009) Flächen- und Risikomanagement überschwemmungsgefährdeter Gebiete am Beispiel der Hamburger Elbinsel. In: Coastline reports 14/2009 EUCC, Rostock/Germany. http://databases.eucc-d.de/files/documents/00000891_finalCR14.pdf. Accessed 21 March 2011
Macal CM, North MJ (2005) Tutorial on agent-based modeling and simulation. In: Kuhl ME, Steiger NM, Armstrong FB, Joines JA (eds) Proceedings of the 2005 winter simulation conference, Orlando, pp 2–15. http://www.informs-sim.org/wsc05papers/002.pdf. Accessed 14 Feb 2011
Mainzer K (2008) Komplexität. Wilhelm Fink, Paderborn
Miller JH, Page SE (2007) Complex adaptive systems. an introduction to computational models of social life. Princeton University Press, Princeton/Oxford
MLR (2001) Generalplan Küstenschutz. Integriertes Küstenschutzmanagement in Schleswig-Holstein. Ministerium für Ländliche Räume, Landesplanung, Landwirtschaft und Tourismus des Landes Schleswig-Holstein (now MLUR), Kiel. http://www.schleswig-holstein.de/cae/servlet/contentblob/650842/publicationFile/Kuestenschutz_Generalplan.pdf. Accessed 29 March 2011
MLUR (2010) Informationen zur Einführung einer Küsten- und Hochwasserschutzabgabe. Ministerium für Landwirtschaft, Umwelt und ländliche Räume des Landes Schleswig-Holstein, Kiel. http://www.schleswig-holstein.de/cae/servlet/contentblob/954478/publicationFile/InfoEinfKueSchuAbg.pdf. Accessed 30 May 2011
MLUR (2007) Generalplan Binnenhochwasserschutz und Hochwasserrückhalt Schleswig-Holstein. Ministerium für Landwirtschaft, Umwelt und Ländliche Räume (MLUR), Kiel. http://www.schleswig-holstein.de/cae/servlet/contentblob/419008/publicationFile/GP_BinnenHW.pdf. Accessed 3 March 2011
Moss S, Edmonds B (2005) Towards good social science. J Artif Soc Soc Simul 8(4):13. http://jasss.soc.surrey.ac.uk/8/4/13.html. Accessed 10 Feb 2011
MURL (1999) Hochwasserfibel: Bauvorsorge in hochwassergefährdeten Gebieten. Ministerium für Umwelt, Raumordnung und Landwirtschaft des Landes Nordrhein-Westfalen (MURL), Düsseldorf. http://www.lanuv.nrw.de/wasser/hochwasserfibel.pdf. Accessed 23 March 2011
Naqvi AA, Sobiech C (2010) Simulating humanitarian crises and socio-economic vulnerability: application of agent-based models. In: Shen X, Downing TE, Hamza D (eds) SOURCE tipping points in humanitarian crisis: from hot spots to hot systems 13/2010, pp 29–44. http://www.ehs.unu.edu/file/get/5271. Accessed 14 Feb 2011
Peck SL (2004) Simulation as experiment: a philosophical reassessment for biological modeling. Trends Ecol Evol 19(10):530–534. http://www.cell.com/trends/ecology-evolution/abstract/S0169-5347%2804%2900216-2. Accessed 14 Feb 2011
Perez P (2006) Agents, icons and idols. In: Perez P, Batten D (eds) Complex science for a complex world. exploring human ecosystems with agents. ANU E Press, pp 27–56. http://epress.anu.edu.au/cs/pdf/complex-whole.pdf. Accessed 10 Feb 2011
Ratter BMW, Lange M, Sobiech C (2009) Heimat, Umwelt und Risiko an der deutschen Nordseeküste. Die Küstenregion aus Sicht der Bevölkerung. GKSS Bericht 2009/10 2nd edn. http://www.hzg.de/imperia/md/content/gkss/zentrale_einrichtungen/bibliothek/berichte/2009/2009_10_zweite_auflage.pdf. Accessed 30 May 2011
Rölke H (2004) Modellierung von Agenten und Multiagentensystemen. Grundlagen und Anwendungen. Dissertation In: Moldt D (ed) Agent technology. Theory and application. 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.soc.surrey.ac.uk/13/1/10.html. Accessed 10 Feb 2011
Schleswig-Holsteinischer Landtag (2009a) Bilanz und Zukunft des Küstenschutzes in Schleswig-Holstein an Nord- und Ostsee. Antwort der Landesregierung 16/2403. http://www.landtag.ltsh.de/infothek/wahl16/aussch/uua/niederschrift/2009/16-058_05-09.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). Metropolis, Marbur
Smajgl A, Brown D, Valbuena D, Huigen MGA (2011) Empirical characterisation of agent behaviours in socio-ecological systems. Environ Model Softw 26(7):837–844. doi:10.1016/j.envsoft.2011.02.011
Tapsell S, McCarthy S, Faulkner H, Alexander M (2010) Social vulnerability and natural hazards. CapHaz-Net WP4 Report http://caphaz-net.org/outcomes-results/CapHaz-Net_WP4_Social-Vulnerability2.pdf. Accessed 10 Feb 2011
Terpstra T (2009) Flood preparedness.thoughts, feelings and intentions of the Dutch public. Dissertation, University of Twente, Netherlands. http://doc.utwente.nl/69492/1/thesis_T_Terpstra.pdf. Accessed 28 March 2011
Vicsek T (2002) The bigger picture. Nature 418:131. http://www2.econ.iastate.edu/tesfatsi/complexity.Vicsek.pdf. Accessed 14 February 2011
Weichhart P (2008) Entwicklungslinien der Sozialgeographie. Franz Steiner Verlag, Stuttgart
Wooldridge M (2009) An introduction to multi agent systems. 2nd edn. Wiley, Chichester
Wooldridge M, Jennings NR (1995) Agent theories, architectures, and languages. A survey. In: Wooldridge M, Jennings NR (eds) Intelligent agents. Proceedings of the ECAI-94 workshop on agent theories, architectures, and languages Amsterdam, August 8–9 1994, Springer, Lecture Notes in Computer Science Vol 890. pp 1–39. http://www.springerlink.com/content/y5h45l62741367k4/. Accessed 10 Feb 2011
Ziervogel G, Bithell M, Washington R, Downing T (2005) Agent-based social simulation: a method for assessing the impact of seasonal climate forecast applications among smallholder farmers. Agric Syst 83:1–26. doi:10.1016/j.agsy.2004.02.009
Websites
BSH 2011 http://bsh.de. Accessed 10 June 2011
Glamann W (2010) http://www.die-stoer.de/. Accessed 30 May 2011
Repast (2011) http://repast.sourceforge.net/. Accessed 18 Jan 2011
Repast Mailing List and Mail Archive (2011) https://lists.sourceforge.net/lists/listinfo/repast-interest, http://sourceforge.net/mailarchive/forum.php?forum_name=repast-interest/. Accessed 18 Jan 2011
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Sobiech, C. (2013). Research Design. In: Agent-Based Simulation of Vulnerability Dynamics. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32365-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-32365-2_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32364-5
Online ISBN: 978-3-642-32365-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)