Pivotal Pruning of Trade-offs in QPNs
Artificial Intelligence
2013-01-18 v1
Abstract
Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilistic networks do not provide for resolving trade-offs and typically yield ambiguous results upon inference. We present an algorithm for computing more insightful results for unresolved trade-offs. The algorithm builds upon the idea of using pivots to zoom in on the trade-offs and identifying the information that would serve to resolve them.
Keywords
Cite
@article{arxiv.1301.3889,
title = {Pivotal Pruning of Trade-offs in QPNs},
author = {Silja Renooij and Linda C. van der Gaag and Simon Parsons and Shaw Green},
journal= {arXiv preprint arXiv:1301.3889},
year = {2013}
}
Comments
Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)