A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy
From MaRDI portal
Publication:3775001
DOI10.1109/TSMC.1987.4309056zbMath0635.68112MaRDI QIDQ3775001
Publication date: 1987
Published in: IEEE Transactions on Systems, Man, and Cybernetics (Search for Journal in Brave)
Bayesian classificationexpert systemdiagnostic problem solvingparsimonious covering theoryprobabilistic causal modelsymbolic causal knowledge
Bayesian problems; characterization of Bayes procedures (62C10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)
Related Items (12)
Cost-based abduction and MAP explanation ⋮ The role of relevance in explanation. I: Irrelevance as statistical independence ⋮ Upside-down meta-interpretation of the model elimination theorem-proving procedure for deduction and abduction ⋮ The computational complexity of probabilistic inference using Bayesian belief networks ⋮ An optimal approximation algorithm for Bayesian inference ⋮ Multi-dimensional classification with Bayesian networks ⋮ The computational complexity of abduction ⋮ Approximating probabilistic inference in Bayesian belief networks is NP- hard ⋮ A recurrence local computation approach towards ordering composite beliefs in Bayesian belief networks ⋮ Partial abductive inference in Bayesian belief networks by simulated annealing ⋮ Electronic circuit diagnostic expert systems - a survey ⋮ The role of relevance in explanation. II: Disjunctive assignments and approximate independence
This page was built for publication: A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy