Search Results for author:
Found 4 papers, 0 papers with code
Interval-Based Decisions for Reasoning Systems
systems; 2. wide intervals avoid error, but are useless in some risk sensitive decision-making; 3. one may obtain narrower intervals if one is less cautious; 4. if bodies of knowledge can be ordered by their caution, one should perform the decision analysis with the acceptable body of knowledge that is the most cautious, of those that are useful.
Computing Reference Classes
For any system with limited statistical knowledge, the combination of evidence and the interpretation of sampling information require the determination of the right reference class (or of an adequate one).
Evidential Reasoning in a Network Usage Prediction Testbed
The domain is a network of UNIX* cycle servers, and the task is to predict properties of the state of the network from partial descriptions of the state.
Defeasible Decisions: What the Proposal is and isn't
Looking at decision analysis as defeasible reasoning produces a framework in which planning and decision theory can be integrated, but work on the details has barely begun.
