English

From Qualitative to Quantitative Probabilistic Networks

Artificial Intelligence 2013-01-07 v1

Abstract

Quantification is well known to be a major obstacle in the construction of a probabilistic network, especially when relying on human experts for this purpose. The construction of a qualitative probabilistic network has been proposed as an initial step in a network s quantification, since the qualitative network can be used TO gain preliminary insight IN the projected networks reasoning behaviour. We extend on this idea and present a new type of network in which both signs and numbers are specified; we further present an associated algorithm for probabilistic inference. Building upon these semi-qualitative networks, a probabilistic network can be quantified and studied in a stepwise manner. As a result, modelling inadequacies can be detected and amended at an early stage in the quantification process.

Keywords

Cite

@article{arxiv.1301.0596,
  title  = {From Qualitative to Quantitative Probabilistic Networks},
  author = {Silja Renooij and Linda C. van der Gaag},
  journal= {arXiv preprint arXiv:1301.0596},
  year   = {2013}
}

Comments

Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002)

R2 v1 2026-06-21T23:03:42.264Z