Modeling complex systems
AbstractEmpirical observations suggest that linear dynamics are not an adequate representation of ecological systems and that a realistic representation would require adoption of complex nonlinear dynamical systems with characteristics encountered in complex adaptive systems (CAS). Adequate modeling should include and combine elements, such as strategic interactions among economic agents, nonconvexities induced by nonlinear feedbacks, separate spatial and temporal scales and modeling of spatiotemporal dynamics, and allowance of alternative time scales. Ignoring these characteristics might obscure very important features that we observe in reality, such as bifurcations and irreversibilities or hysteresis. As a consequence, the design of policies that do not take CAS characteristics into account might lead to erroneous results and undesirable states of managed economic-ecological systems. Copyright (c) 2010 International Association of Agricultural Economists.
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Bibliographic InfoArticle provided by International Association of Agricultural Economists in its journal Agricultural Economics.
Volume (Year): 41 (2010)
Issue (Month): s1 (November)
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Other versions of this item:
- Xepapadeas, Anastasios, 2009. "Modelling Complex Systems," 2009 Conference, August 16-22, 2009, Beijing, China 53216, International Association of Agricultural Economists.
- XEPAPADEAS, Anastasios, 2009. "Modeling Complex Systems," MPRA Paper 17498, University Library of Munich, Germany.
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
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