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| Kaye-Blake, William; Li, Frank Y.; Martin, A. McLeish; McDermott, Alan; Neil, Hayley; Rains, Scott. |
| Multi-Agent Simulation (MAS) models are intended to capture emergent properties of complex systems that are not amenable to equilibrium analysis. They are beginning to see some use for analysing agricultural systems. The paper reports on work in progress to create a MAS for specific sectors in New Zealand agriculture. One part of the paper focuses on options for modelling land and other resources such as water, labour and capital in this model, as well as markets for exchanging resources and commodities. A second part considers options for modelling agent heterogeneity, especially risk preferences of farmers, and the impacts on decision-making. The final section outlines the MAS that the authors will be constructing over the next few years and the types of... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Multi-agent simulation models; Modelling; Agent-based model; Cellular automata; Decision-making; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Livestock Production/Industries. |
| Ano: 2009 |
URL: http://purl.umn.edu/97165 |
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| Lynam, Timothy; Tropical Resource Ecology Program, University of Zimbabwe; tlynam@science.uz.ac.zw. |
| Zambezi Valley agro-ecosystems are environmentally, economically, and institutionally variable. This variability means that it is not possible to measure everything necessary to develop a predictive understanding of them. In particular, because people and their environments are constantly changing, what was measured yesterday may change by tomorrow. Here, I describe elements of the approach that I have developed to address this problem. Called DAAWN, for Detail as and When Needed, the approach advocates an iterative and multiscaled methodology in which we first capture as broad an understanding of the system as possible and then use awareness developed at this scale to identify where to focus subsequent, more detailed, investigations. Because we cannot... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Comples adaptive systems; Household and resource economics; Livelihood strategies; Modeling; Multi-agent simulation models; Natural resource use; Participatory systems analysis; Southern Africa; Spidergrams. |
| Ano: 1999 |
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