Bayesian Networks and participatory modelling in water resource management

By A. Castelletti, R. Soncini-Sessa. Environmental Modelling & Software, 2007

316 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aa3fbac4f864f4166ab7be07232c66b5dd22d5fd

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In Artificial Intelligence

Citations in the corpus

A review of Bayesian belief networks in ecosystem service modelling (2013, methodology): “The suitability of BBN models in a participatory modelling approach, which Fish (2011) denoted as an essential aspect of ESS assessment, is a second strength (Castelletti and Soncini-Sessa, 2007).”
Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “Because of their historical roots in decision and uncertainty theory, BNs are especially useful for management and decisionmaking purposes in a wide range of applications where uncertainty is pervasive (e.g. Castelletti and Soncini-Sessa, 2007; PérezMiñana et al., 2012; Ticehurst et al., 2007).”
Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management (2008, unknown): “Ticehurst et al. (2007) discussed an integrated modeling framework based on Bayesian Networks that allows active participation of relevant stakeholders and explicit consideration of uncertainty (see also Castelletti and Soncini-Sessa, 2007a ).”
Tools and methods in participatory modeling: Selecting the right tool for the job (2018, background): “The graphical representation makes BN intuitive and useful for communicating model assumptions, uncertainty and the complex interactions among variables, especially with non-technical stakeholder groups (Carmona et al., 2013; Castelletti and Soncini-Sessa, 2007; Chen and Pollino, 2012).”
Modelling with stakeholders (2010, background): “, 2007) and also in a participatory context (Henriksen et al., 2007; Castelletti and Soncini-Sessa, 2007; Lynam et al., 2010; Martinez-Santos et al., 2010).”