The Markov property of causal BNs provides a rational system for decomposing a large network into a set of smaller subnetworks (Figure 9). This is especially useful in the environmental and ecological sciences where the study of complex systems is usually broken down into smaller pieces, each addressed by a different group of researchers. The Markov property means that these groups can assemble separate submodels using approaches suitable for the type and scale of information they have available, and when the submodels are reassembled, the whole model will make logical, causal sense.
See also: Application of Ecological Informatics; Artificial Neural Networks: Temporal Networks; Artificial Neural Networks; Ecological Informatics: Overview; Sensitivity and Uncertainty; Statistical Prediction; Multilayer Perceptron.
Was this article helpful?
Learning About 10 Ways Fight Off Cancer Can Have Amazing Benefits For Your Life The Best Tips On How To Keep This Killer At Bay Discovering that you or a loved one has cancer can be utterly terrifying. All the same, once you comprehend the causes of cancer and learn how to reverse those causes, you or your loved one may have more than a fighting chance of beating out cancer.