Abstract
Sometimes, descriptive and empirical agent-based models contain sub-models of variables whose change over time cannot be easily modelled. Due to a frequent lack of long-term data, especially on demographic change, often logical design principles are used for modeling such changes. The problem with these modeling principles is that many of them exist and the choice is a difficult one. We would like to illustrate in this article that this choice has consequences, using the example of farm agent aging sub-models in an existing land-use change model. We will show that different design principles lead to different long-term changes in age pattern. The problem here is that one cannot be sure where the change in age structure comes from, i.e. whether it is an account of real-world change and/or whether it is caused by model assumptions. Then, we will show that simulated land-use change is highly sensitive to the type of aging sub-model. As a solution, we develop an alternative aging sub-model that exactly maintains an age pattern externally prescribed, but still allows individual aging.
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References
Arsenault, A.M.: A Multi-Agent Simulation Approach to Farmland Auction Markets: Repeated Games with Agents that Learn. Master thesis. University of Saskatchewan (2007)
da Feitosa, F.F.: Urban Segregation as a Complex System: An Agent-Based Simulation Approach. Dissertation. University of Bonn. Ecology and Development Series 70 (2010)
Freeman, T.R.: From the ground up: An agent-based model of regional structural change. Master thesis. University of Saskatchewan (2005)
Happe, K., Kellermann, K., Balmann, A.: Agent-based Analysis of Agricultural Policies: an Illustration of the Agricultural Policy Simulator AgriPoliS, its Adaptation and Behavior. Ecology and Society 11(1), 49 (2006)
Khagayi, S., Debpuur, C., Wak, G., Odimegwu, C.: Socioeconomic status and elderly adult mortality in rural Ghana: Evidence from the Navrongo DSS. African Population Studies Journal (2011)
Kaplan, M.: Agent-based modeling of land-use changes and vulnerability assessment in a coupled socio-ecological system in the coastal zone of Sri Lanka. Dissertation. University of Bonn. Ecology and Development Series 77 (2011)
Lamptey, P., Nicholas, D.N., Ofosu-Amaah, S., Lourie, I.M.: An Evaluation of Male Contraceptive Acceptance in Rural Ghana. Studies in Family Planning 9(8), 222–226 (1978)
Lobianco, A.: The Effects of Decoupling on Two Italian Regions. An Agent-based Model. Dissertation. Polytechnic University of Marche (2007)
Le, Q.B.: Multi-agent system for simulation of land-use and land-cover change: A theoretical framework and its first implementation for an upland watershed in the Central Coast of Vietnam. Ecology and Development Series, vol. 29. Cuvillier Verlag, Göttingen (2005)
Le, Q.B., Park, S.J., Vlek, P.L.G., Cremers, A.B.: Land use dynamic simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. 1. Structure and theoretical specification. Ecological Informatics 3(3), 135–153 (2008)
Millington, J., Romero-Calcerrada, R., Wainwright, R., Perry, G.: An Agent-Based Model of Mediterranean Agricultural Land-Use/Cover Change for Examining Wildfire Risk. Journal of Artificial Societies and Social Simulation 11(4), 4 (2008)
Schindler, J.: Household surveys July and November 2006. For questionnaire see [13] (2006)
Schindler, J.: A multi-agent system for simulating land-use and land-cover change in the Atankwidi catchment of Upper East Ghana. Dissertation. University of Bonn. Ecology and Development Series 68 (2010)
Schindler, J.: The difficulties in justification of agent design and their effects: An illustration with a land-use model (submitted, 2012)
Stolniuk, P.C.: An Agent-Based Simulation Model of Structural Change in Agriculture. Master thesis. University of Saskatchewan (2008)
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Schindler, J. (2012). The Importance of Being Accurate in Agent-Based Models – An Illustration with Agent Aging. In: Timm, I.J., Guttmann, C. (eds) Multiagent System Technologies. MATES 2012. Lecture Notes in Computer Science(), vol 7598. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33690-4_16
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DOI: https://doi.org/10.1007/978-3-642-33690-4_16
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