Abstract
Model-based reasoning and industrial fault diagnosis offer intriguing possibilities for solving forest health problems that have proven very complicated. The first requirement for the use of MBR is to build object-oriented models of trees, plants, and various harmful agents. Unfortunately, an object-oriented model of a live tree is very heavy in computational sense beacuse such a model must span over several hierarchical levels. The problem of computational complexity may, however, be relieved by using simulation just in cases that have not been encountered earlier. This can be achieved by using a simple method which allows the system to “learn” from its earlier behavior. In this paper such a method is presented. The use of MBR to diagnostic tasks in ecology is also discussed.
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Ahonen, J.J., Saarenmaa, H. (1991). Model-based reasoning about natural ecosystems: An algorithm to reduce the computational burden associated with simulating multiple biological agents. In: Hälker, M., Jaeschke, A. (eds) Informatik für den Umweltschutz / Computer Science for Environmental Protection. Informatik-Fachberichte, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77164-4_20
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DOI: https://doi.org/10.1007/978-3-642-77164-4_20
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