Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability
The integrated - environmental, economic and social - analysis of climate change calls for a paradigm shift as it is fundamentally a problem of complex, bottom-up and multi-agent human behaviour. There is a growing awareness that global environmental change dynamics and the related socio-economic implications involve a degree of complexity that requires an innovative modelling of combined social and ecological systems. Climate change policy can no longer be addressed separately from a broader context of adaptation and sustainability strategies. A vast body of literature on agent-based modelling (ABM) shows its potential to couple social and environmental models, to incorporate the influence of micro-level decision making in the system dynamics and to study the emergence of collective responses to policies. However, there are few publications which concretely apply this methodology to the study of climate change related issues. The analysis of the state of the art reported in this paper supports the idea that today ABM is an appropriate methodology for the bottom-up exploration of climate policies, especially because it can take into account adaptive behaviour and heterogeneity of the system's components.
|Date of creation:||2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.unive.it/dip.economia
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Martin L. Weitzman, 2009.
"On Modeling and Interpreting the Economics of Catastrophic Climate Change,"
The Review of Economics and Statistics,
MIT Press, vol. 91(1), pages 1-19, February.
- Weitzman, Martin L., 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," Scholarly Articles 3693423, Harvard University Department of Economics.
- Francesco Luna, . "Computable Learning, Neural Networks and Institutions," Computing in Economics and Finance 1996 _037, Society for Computational Economics.
- Boulanger, Paul-Marie & Brechet, Thierry, 2005.
"Models for policy-making in sustainable development: The state of the art and perspectives for research,"
Elsevier, vol. 55(3), pages 337-350, November.
- BOULANGER, Paul-Marie & BRECHET, Thierry, . "Models for policy-making in sustainable development: the state of the art and perspectives for research," CORE Discussion Papers RP -1861, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bell, Ann Maria, 2001. "Reinforcement Learning Rules in a Repeated Game," Computational Economics, Society for Computational Economics, vol. 18(1), pages 89-110, August.
- Federico Cecconi & Domenico Parisi, 1998. "Individual Versus Social Survival Strategies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(2), pages 1.
- Pietro Terna, 1998. "Simulation Tools for Social Scientists: Building Agent Based Models with SWARM," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(2), pages 4.
- Gintis, Herbert, 2000. "Beyond Homo economicus: evidence from experimental economics," Ecological Economics, Elsevier, vol. 35(3), pages 311-322, December.
- Bower, John & Bunn, Derek, 2001. "Experimental analysis of the efficiency of uniform-price versus discriminatory auctions in the England and Wales electricity market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 561-592, March.
- Chris Goldspink, 2000. "Modelling Social Systems As Complex: Towards a Social Simulation Meta-Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 3(2), pages 1.
- Michael Prietula & Kathleen Carley & Les Gasser (ed.), 1998. "Simulating Organizations: Computational Models of Institutions and Groups," MIT Press Books, The MIT Press, edition 1, volume 1, number 026266108x, June.
- Rammel, Christian & Stagl, Sigrid & Wilfing, Harald, 2007. "Managing complex adaptive systems -- A co-evolutionary perspective on natural resource management," Ecological Economics, Elsevier, vol. 63(1), pages 9-21, June.
- Smith, Vernon L, 1989. "Theory, Experiment and Economics," Journal of Economic Perspectives, American Economic Association, vol. 3(1), pages 151-69, Winter.
- Marks, R E, 1992. "Breeding Hybrid Strategies: Optimal Behaviour for Oligopolists," Journal of Evolutionary Economics, Springer, vol. 2(1), pages 17-38, March.
- Carley, Kathleen M., 1996. "A comparison of artificial and human organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 175-191, November.
- Paul M Torrens & David O'Sullivan, 2001. "Cellular automata and urban simulation: where do we go from here?," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 28(2), pages 163-168, March.
- Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
- LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
- Wander Jager & Marco A. Janssen, 2002. "Stimulating diffusion of green products," Journal of Evolutionary Economics, Springer, vol. 12(3), pages 283-306.
- Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.
- De Vany, Arthur & Lee, Cassey, 2001. "Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 593-614, March.
- Rouchier, Juliette & Bousquet, Francois & Requier-Desjardins, Melanie & Antona, Martine, 2001. "A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 527-559, March.
- Olivier Barreteau & Fran�ois Bousquet & Jean-Marie Attonaty, 2001. "Role-Playing Games for Opening the Black Box of Multi-Agent Systems: Method and Lessons of Its Application to Senegal River Valley Irrigated Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(2), pages 5.
- W. Brian Arthur & John H. Holland & Blake LeBaron & Richard Palmer & Paul Taylor, 1996.
"Asset Pricing Under Endogenous Expectation in an Artificial Stock Market,"
96-12-093, Santa Fe Institute.
- Albin, Peter & Foley, Duncan K., 1992. "Decentralized, dispersed exchange without an auctioneer : A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 18(1), pages 27-51, June.
- Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, June.
- Ziervogel, Gina & Bithell, Mike & Washington, Richard & Downing, Tom, 2005. "Agent-based social simulation: a method for assessing the impact of seasonal climate forecast applications among smallholder farmers," Agricultural Systems, Elsevier, vol. 83(1), pages 1-26, January.
- Robert Tobias & Carole Hofmann, 2004. "Evaluation of free Java-libraries for social-scientific agent based simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(1), pages 6.
- Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers 10368, Iowa State University, Department of Economics.
- Hare, M & Deadman, P, 2004. "Further towards a taxonomy of agent-based simulation models in environmental management," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 25-40.
- Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 24(1), pages 85-108.
- Nils A. Baas & Claus Emmeche, 1997. "On Emergence and Explanation," Working Papers 97-02-008, Santa Fe Institute.
- Janssen, Marco & de Vries, Bert, 1998. "The battle of perspectives: a multi-agent model with adaptive responses to climate change," Ecological Economics, Elsevier, vol. 26(1), pages 43-65, July.
- Paul Guyot & Shinichi Honiden, 2006. "Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 8.
- Melissa Savage & Manor Askenazi, 1998. "Arborscapes: A Swarm-Based Multi-agent Ecological Disturbance Model," Working Papers 98-06-056, Santa Fe Institute.
When requesting a correction, please mention this item's handle: RePEc:ven:wpaper:2009_15. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Geraldine Ludbrook)
If references are entirely missing, you can add them using this form.