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Further towards a taxonomy of agent-based simulation models in environmental management

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  • Hare, M
  • Deadman, P

Abstract

Agent-based simulation (ABS) is being increasingly used in environmental management. However, the efficient and effective use of ABS for environmental modelling is hindered by the fact that there is no fixed and clear definition of what an ABS is or even what an agent should be. Terminology has proliferated and definitions of agency have been drawn from an application area (Distributed Artificial Intelligence) which is not wholly relevant to the task of environmental simulation. This situation leaves modellers with little practical support for clearly identifying ABS techniques and how to implement them.

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  • 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.
    • Handle: RePEc:eee:matcom:v:64:y:2004:i:1:p:25-40
    DOI: 10.1016/S0378-4754(03)00118-6
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    References listed on IDEAS

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    2. Johannes Dahlke & Kristina Bogner & Matthias Mueller & Thomas Berger & Andreas Pyka & Bernd Ebersberger, 2020. "Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM)," Papers 2003.11985, arXiv.org.
    3. Xuehong Bai & Huimin Yan & Lihu Pan & He Qing Huang, 2015. "Multi-Agent Modeling and Simulation of Farmland Use Change in a Farming–Pastoral Zone: A Case Study of Qianjingou Town in Inner Mongolia, China," Sustainability, MDPI, vol. 7(11), pages 1-32, November.
    4. Bert, Federico E. & Rovere, Santiago L. & Macal, Charles M. & North, Michael J. & Podestá, Guillermo P., 2014. "Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems," Ecological Modelling, Elsevier, vol. 273(C), pages 284-298.
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    10. Chen, Serena H. & Jakeman, Anthony J. & Norton, John P., 2008. "Artificial Intelligence techniques: An introduction to their use for modelling environmental systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 379-400.
    11. Roeder, Norbert & Kantelhardt, Jochen & Kapfer, Martin, 2006. "Impact of the CAP Reform on Small-Scaled Grassland Regions in Bavaria, Germany," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25383, International Association of Agricultural Economists.
    12. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    13. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    14. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    15. Anne Dray & Pascal Perez & Natalie Jones & Christophe Le Page & Patrick D'aquino & Ian White & Titeem Auatabu, 2006. "The AtollGame Experience: from Knowledge Engineering to a Computer-Assisted Role Playing Game," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-6.
    16. Claudia Parra Paitan & Peter H. Verburg, 2019. "Methods to Assess the Impacts and Indirect Land Use Change Caused by Telecoupled Agricultural Supply Chains: A Review," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    17. Brinkmann, Katja & Kübler, Daniel & Liehr, Stefan & Buerkert, Andreas, 2021. "Agent-based modelling of the social-ecological nature of poverty traps in southwestern Madagascar," Agricultural Systems, Elsevier, vol. 190(C).
    18. J. Gareth Polhill & Lee-Ann Sutherland & Nicholas M. Gotts, 2010. "Using Qualitative Evidence to Enhance an Agent-Based Modelling System for Studying Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(2), pages 1-10.
    19. Christophe Le Page & Nicolas Becu & Pierre Bommel & François Bousquet, 2012. "Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-10.
    20. Patrick Breun & Magnus Fröhling & Konrad Zimmer & Frank Schultmann, 2017. "Analyzing investment strategies under changing energy and climate policies: an interdisciplinary bottom-up approach regarding German metal industries," Journal of Business Economics, Springer, vol. 87(1), pages 5-39, January.
    21. Yang Chen & Martha M. Bakker & Arend Ligtenberg & Arnold K. Bregt, 2016. "How Are Feedbacks Represented in Land Models?," Land, MDPI, vol. 5(3), pages 1-20, September.
    22. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    23. Schlüter, Maja & Baeza, Andres & Dressler, Gunnar & Frank, Karin & Groeneveld, Jürgen & Jager, Wander & Janssen, Marco A. & McAllister, Ryan R.J. & Müller, Birgit & Orach, Kirill & Schwarz, Nina & Wij, 2017. "A framework for mapping and comparing behavioural theories in models of social-ecological systems," Ecological Economics, Elsevier, vol. 131(C), pages 21-35.
    24. Bertacchini, Enrico & Grazzini, Jakob & Vallino, Elena, 2013. "Emergence and Evolution of Property Rights: an Agent Based Perspective," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201340, University of Turin.

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