no code implementations • 21 Mar 2024 • Steven Mascaro, Yue Wu, Ross Pearson, Owen Woodberry, Jessica Ramsay, Tom Snelling, Ann E. Nicholson
The unique challenges of the setting lead to experiments with the elicitation approach, and what emerged was a knowledge engineering method we call Causal Knowledge Engineering (CKE).
no code implementations • 20 Feb 2024 • Steven Mascaro, Owen Woodberry, Yue Wu, Ann E. Nicholson
Since the practice focuses on qualitative issues, despite being quantitative in nature, we call this step qualitative parameterisation and provide an outline of its role in the BN development process.
no code implementations • 2 Mar 2020 • Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David Lagnado
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty.
no code implementations • 22 Jul 2016 • Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
The causal discovery of Bayesian networks is an active and important research area, and it is based upon searching the space of causal models for those which can best explain a pattern of probabilistic dependencies shown in the data.