Modelling Operational Decision-Making in Agriculture — Oak Academic Publishing
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Modelling Operational Decision-Making in Agriculture
Mathématiques et Informatique Appliquées de Toulouse, Université de Toulouse, Institut National de la Recherche Agronomique, Castanet Tolosan, France
1 Mathématiques et Informatique Appliquées de Toulouse, Université de Toulouse, Institut National de la Recherche Agronomique, Castanet Tolosan, France
Farm management practices differ considerably among farmers. In this article, we explore the processes which farmers go through when making operational decisions about technical interventions. Because farmers have different approaches to the decision-making process, it is essential to describe these differences to identify areas in which management skills require improvement. This study identifies and represents contextual, informational and inferential aspects of the cognitive work a farm manager performs in operational decision-making. We developed a conceptual modelling framework that structures the decision-making behaviour along a set of cognitive processes such as perception, interpretation, goal reasoning, planning and judgment. These processes are activated repeatedly throughout the production process. The framework can help characterize variation in management behaviour and performance, and identify promising directions for improvement.
KeywordsBeliefGoalIntentionPlanEventAgricultural Production Management
Hardaker, J.B., Huirne, R.B.M. and Anderson, J.R. (1997) Coping with Risk in Agriculture. CAB International, Wallingford.
McCown, R.L. (2005) New Thinking About Farmer Decision Makers. In: Hatfield, J.L., Ed., The Farmer's Decision: Balancing Economic Successful Agriculture Production with Environmental Quality. Soil and Water Conservation Society. Ankeny, Iowa, 11-44.
Edwards-Jones, G. (2006) Modelling Farmer Decision-Making: Concepts, Progress and Challenges. Animal Science, 82, 783-790. https://doi.org/10.1017/ASC2006112
Feola, G. and Binder, C. (2010) Towards an Improved Understanding of farmers' Behaviour: The Integrative Agent-Centered (IAC) Framework. Ecological Economics, 69, 2323-2333. https://doi.org/10.1016/j.ecolecon.2010.07.023
An, L. (2012) Modelling Human Decisions in Coupled Human and Natural Systems: Review of Agent-Based Models. Ecological Modelling, 229, 25-36. https://doi.org/10.1016/j.ecolmodel.2011.07.010
Schlüter, M., Baeza, A., Dressler, G., Frank, K., Groeneveld, J., Jager, W., Janssen, M., McAllister, R., Müller, B., Orach, K., Schwarz, N. and Wijermans, N. (2017) A Framework for Mapping and Comparing Behavioural Theories in Models of Social-Ecological Systems. Ecological Economics, 131, 21-35. https://doi.org/10.1016/j.ecolecon.2016.08.008
Öhlmér, B., Olson, K. and Brehmer, B. (1998) Understanding Farmers’ Decision Making Processes and Improving Managerial Assistance. Agricultural Economics, 18, 273-290. https://doi.org/10.1016/S0169-5150(97)00052-2
Martin-Clouaire, R. and Rellier, J.-P. (2011) Dynamic Resource Allocation in Farm Management Simulation. In: Chan, F., Marinova, D. and Anderssen, R.S., Eds., Proceedings of MODSIM2011, Perth, 12-16 December 2011, 1652-1658. www.mssanz.org.au/modsim2011/B1/martin_clouaire.pdf
Gigerenzer, G. (2004) Fast and Frugal Heuristics: The Tools of Bounded Rationality. In: Koehler, D. and Harvey, N., Eds., Blackwell Handbook of Judgment and Decision Making, Blackwell, Oxford, 62-88. https://doi.org/10.1002/9780470752937.ch4
Simon, H.A. (1996) The Sciences of the Artificial. The MIT Press, Cambridge.
Rasmussen, J. (1976) Outlines of a Hybrid Model of the Process Plant Operator. In: Sheridan, T.B. and Johannsen, G., Eds., Monitoring Behaviour and Supervisory Control, Plenum, New York, 371-383. https://doi.org/10.1007/978-1-4684-2523-9_31
Klein, G.A. (1998) Sources of Power: How People Make Decisions. MIT Press, Cambridge.
Bratman, M., Israel, D. and Pollack, M. (1988) Plans and Resource-Bounded Practical Reasoning. Computational Intelligence, 4, 349-355. https://doi.org/10.1111/j.1467-8640.1988.tb00284.x
Vicente, K.H. (1999) Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work. Lawrence Erlbaum, Mahwah.
Rasmussen, J., Petjersen, A.M. and Goodstein, L.P. (1994) Cognitive Systems Engineering. Wiley, New York.
Lintern, G. (2010) A Comparison of the Decision Ladder and the Recognition-Primed Decision Model. Journal of Cognitive Engineering and Decision Making, 4, 304-327. https://doi.org/10.1177/155534341000400404
Hassall, M.E. and Sanderson, P.M. (2014) Can the Decision Ladder Framework Help Inform Industry Risk Assessment Processes? Ergonomics Australia, 10, 3.
Klein, G.A. (1989) Recognition-Primed Decision. In: Rouse, W., Ed., Advances in Man-Machine Systems Research, JAI Press, Hartford, 47-92.
Bratman, M. (1987) Intentions, Plans and Practical Reason. Harvard University Press, Cambridge.
Wooldridge, M. (2009) An Introduction to MultiAgent Systems—Second Edition. John Wiley & Sons, Hoboken.
Son, Y.-J. (2014) An Extended BDI-Based Model for Human Decision-Making and Social Behavior: Various Applications. In: Ceberio, M. and Kreinovich, V., Eds, Constraint Programming and Decision Making, Volume 539 of the series Studies in Computational Intelligence, Springer, Berlin, 171-174. https://doi.org/10.1007/978-3-319-04280-0_19
Blake, T. and Gilbert, N. (2014) How Do Agents Make Decisions? A Survey. Journal of Artificial Societies and Social Simulation, 17, 13. https://doi.org/10.18564/jasss.2687
Simon, H.A. (1955) A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69, 99-188. https://doi.org/10.2307/1884852
Daydé, C., Couture, S., Garcia, F. and Martin-Clouaire, R. (2014) Investigating Operational Decision-Making in Agriculture. Proceedings of the 7th International Congress on Environmental Modelling and Software, San Diego, 15-19 June 2014.
Martin-Clouaire, R. and Rellier, J.-P. (2009) Modelling and Simulating Work Practices in Agriculture. International Journal of Metadata, Semantics and Ontologies, 4, 42-53. https://doi.org/10.1504/IJMSO.2009.026253
Pollock, J.L. (2000) Rational Cognition in OSCAR. In: Jennings, N. and Lesperance, Y., Eds., Proceedings of ATAL-99 Lecture Notes in Computer Science, Springer Verlag, Berlin. https://doi.org/10.1007/10719619_6
Pollock, J.L. (2006) Thinking about Acting: Logical Foundations for Rational Decision Making, University Press, Oxford. https://doi.org/10.1093/acprof:oso/9780195304817.001.0001
Martin-Clouaire, R., Rellier, J.-P., Paré, N., Voltz, M. and Biarnès, A. (2016) Modelling Management Practices in Viticulture while Considering Resource Limitations: The Dhivine Model. PLoS ONE, 11, Article ID: e0151952. https://doi.org/10.1371/journal.pone.0151952