881 citations · 968 across the 3 of their papers we have counts for
26 papers · 1 filter
Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)
Ramon Lopez de Mantaras, David Poole
This is the Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, which was held in Seattle, WA, July 29-31, 1994
Towards Solving the Multiple Extension Problem: Combining Defaults and Probabilities
Eric Neufeld, David L Poole
The multiple extension problem arises frequently in diagnostic and default inference. That is, we can often use any of a number of sets of defaults or possible hypotheses to explai…
Probabilistic Semantics and Defaults
Eric Neufeld, David L Poole
There is much interest in providing probabilistic semantics for defaults but most approaches seem to suffer from one of two problems: either they require numbers, a problem default…
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
Yang Xiang, Michael P. Beddoes, David L Poole
In this paper, the feasibility of using finite totally ordered probability models under Alelinnas's Theory of Probabilistic Logic [Aleliunas, 1988] is investigated. The general for…
A Dynamic Approach to Probabilistic Inference
Michael C. Horsch, David L. Poole
In this paper we present a framework for dynamically constructing Bayesian networks. We introduce the notion of a background knowledge base of schemata, which is a collection of pa…
High Level Path Planning with Uncertainty
Runping Qi, David L. Poole
For high level path planning, environments are usually modeled as distance graphs, and path planning problems are reduced to computing the shortest path in distance graphs. One maj…