Name
Abstract | ||
|---|---|---|
In this paper we present a methodology and discuss some implementation issues for a project on statistical/expert approach to data analysis and knowledge acquisition. We discuss some general assumptions underlying the project. Further, the requirements for a user-friendly computer assistant are specified along with the nature of tools aiding the researcher. Next we show some aspects of belief network approach and Dempster-Shafer (DST) methodology introduced in practice to system SEAD. Specifically we present the application of DS methodology to belief revision problem. Further a concept of an interface to probabilistic and DS belief networks enabling a user to understand the communication with a belief network based reasoning system is presented |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Artificial Intelligence | Intelligent decision support system,Computer science,Decision support system,Bayesian network,Artificial intelligence,Probabilistic logic,Reasoning system,Belief revision,Knowledge acquisition,Machine learning |
DocType | Volume | Citations |
Journal | abs/1705.08440 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maciej Michalewicz | 1 | 216 | 39.91 |
| Slawomir T. Wierzchon | 2 | 362 | 63.62 |
| Mieczyslaw A. Klopotek | 3 | 366 | 78.58 |