A review of Multi-Agent Simulation Models in Agriculture
AbstractMulti-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 research questions that the model will help investigate.
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Bibliographic InfoPaper provided by New Zealand Agricultural and Resource Economics Society in its series 2009 Conference, August 27-28, 2009, Nelson, New Zealand with number 97165.
Date of creation: Aug 2009
Date of revision:
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;
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- Matthew Shearer & Juliana Salles Almeida & Carlos H. Gutiérrez Jr., 2009. "The Treatment of Agriculture in Regional Trade Agreements in the Americas," IDB Publications 26158, Inter-American Development Bank.
- Dimitris Kremmydas, 2012. "Agent based modeling for agricultural policy evaluation: A review," Working Papers 2012-3, Agricultural University of Athens, Department Of Agricultural Economics.
- Matthew Shearer & Juliana Salles Almeida & Carlos H. Gutiérrez Jr., 2009. "The Treatment of Agriculture in Regional Trade Agreements in the Americas," IDB Publications 23538, Inter-American Development Bank.
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