A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems

Research article (Environmental Modelling & Software, 2017) · cited 48× · AI/ML
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A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems

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A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-participatory-bayesian-belief-network-approach-to-explore-ambiguity-among-stakeholders-about-socio-ecological-systems
MLA “A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-participatory-bayesian-belief-network-approach-to-explore-ambiguity-among-stakeholders-about-socio-ecological-systems.
BibTeX @misc{4ortxyz_a-participatory-bayesian-belief-network-approach-to-explore-ambiguity-among-stakeholders-about-socio-ecological-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-participatory-bayesian-belief-network-approach-to-explore-ambiguity-among-stakeholders-about-socio-ecological-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A participatory Bayesian Belief Network approach to explore ambiguity among stakeholders about socio-ecological systems — https://4ort.xyz/entity/a-participatory-bayesian-belief-network-approach-to-explore-ambiguity-among-stakeholders-about-socio-ecological-systems (retrieved 2026-05-24)

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