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A review of Multi-Agent Simulation Models in Agriculture

Author

Listed:
  • Kaye-Blake, William
  • Li, Frank Y.
  • Martin, A. McLeish
  • McDermott, Alan
  • Neil, Hayley
  • Rains, Scott

Abstract

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 research questions that the model will help investigate.

Suggested Citation

  • Kaye-Blake, William & Li, Frank Y. & Martin, A. McLeish & McDermott, Alan & Neil, Hayley & Rains, Scott, 2009. "A review of Multi-Agent Simulation Models in Agriculture," 2009 Conference, August 27-28, 2009, Nelson, New Zealand 97165, New Zealand Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:nzar09:97165
    DOI: 10.22004/ag.econ.97165
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    References listed on IDEAS

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    1. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
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    Cited by:

    1. Matthew Shearer & Juliana Salles Almeida & Carlos H. Gutiérrez Jr., 2009. "The Treatment of Agriculture in Regional Trade Agreements in the Americas," IDB Publications (Working Papers) 23538, Inter-American Development Bank.
    2. Tan, Luzhi & Dong, Xiaoming & Gong, Zhiqiang & Wang, Mingtao, 2017. "Investigation on performance of an integrated SOFC-GE-KC power generation system using gaseous fuel from biomass gasification," Renewable Energy, Elsevier, vol. 107(C), pages 448-461.
    3. Matthew Shearer & Juliana Salles Almeida & Carlos H. Gutiérrez Jr., 2009. "The Treatment of Agriculture in Regional Trade Agreements in the Americas," IDB Publications (Working Papers) 26158, Inter-American Development Bank.
    4. Kremmydas, Dimitris & Athanasiadis, Ioannis N. & Rozakis, Stelios, 2018. "A review of Agent Based Modeling for agricultural policy evaluation," Agricultural Systems, Elsevier, vol. 164(C), pages 95-106.
    5. Suttie, D. & Benfica, R., 2016. "IFAD RESEARCH SERIES 3 - Fostering inclusive outcomes in sub-Saharan African agriculture: improving agricultural productivity and expanding agribusiness opportunities," IFAD Research Series 280040, International Fund for Agricultural Development (IFAD).
    6. Dimitris Kremmydas, 2012. "Agent based modeling for agricultural policy evaluation: A review," Working Papers 2012-3, Agricultural University of Athens, Department Of Agricultural Economics.

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