Practical issues in constructing a Bayes belief network : Max Henrion Department of Engineering and Public Policy and Department of Social and Decision Science, Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213

Explanation of probabilistic inference f

Explanation of probabilistic inference for decision support systems : Christopher Elsaesser MITRE Washington Artificial Intelligence Center and Department of Engineering and Public Policy, Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213

📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 54 KB

An inductive logic can be formulated in which the elements are not propositions or probability distributions, but information systems. The logic is complete for information systems with binary hypotheses, that is, it applies to all such systems. It is not complete for information systems with more t