On a Tool for Reasoning with Mass Distributions

Abstract

We present a framework foreasoning under uncertainty using mass distributions. Our basic concept is the flow of evidence masses from supersets to subsets which is specified by experts. The expert domain is assumed to have various characteristics so that it can be considered to be a product space with one coordinate for each characteristic. Encoding the qualitative knowledge structure in a dependency network (hypertree) it is possible to describe an efficient propagation algorithm providing mass distributions on each characteristic. This algorithm bases on the computation in (small) subspaces of the product space which reduces its complexity in time as well as in space. It is also easy to make use of parallel computer architectures to improve the efficiency of the algorithm. 1

Cite

Text

Kruse et al. "On a Tool for Reasoning with Mass Distributions." International Joint Conference on Artificial Intelligence, 1991.

Markdown

[Kruse et al. "On a Tool for Reasoning with Mass Distributions." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/kruse1991ijcai-tool/)

BibTeX

@inproceedings{kruse1991ijcai-tool,
  title     = {{On a Tool for Reasoning with Mass Distributions}},
  author    = {Kruse, Rudolf and Schwecke, Erhard and Klawonn, Frank},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1991},
  pages     = {1190-1195},
  url       = {https://mlanthology.org/ijcai/1991/kruse1991ijcai-tool/}
}