Analyzing Uncertainty in Complex Socio-Ecological Networks
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Maldonado González, Ana Devaki![University of Almería authority University of Almería authority](/themes/Mirage2/images/autoridades/autoridad.png)
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Date
2020-01-19Abstract
Socio-ecological systems are recognized as complex adaptive systems whose multiple interactions might change as a response to external or internal changes. Due to its complexity, the behavior of the system is often uncertain. Bayesian networks provide a sound approach for handling complex domains endowed with uncertainty. The aim of this paper is to analyze the impact of the Bayesian network structure on the uncertainty of the model, expressed as the Shannon entropy. In particular, three strategies for model structure have been followed: naive Bayes (NB), tree augmented network (TAN) and network with unrestricted structure (GSS). Using these network structures, two experiments are carried out: (1) the impact of the Bayesian network structure on the entropy of the model is assessed and (2) the entropy of the posterior distribution of the class variable obtained from the different structures is compared. The results show that GSS constantly outperforms both NB and TAN when it comes to ev...
Palabra/s clave
Bayesian networks
entropy
socio-ecological system