
doi: 10.1007/bfb0095047
This paper briefly discusses problems with traditional Bayesian networks, and previous attempts at overcoming those problems, as a motivation for formulating a first-order knowledge based approach to Bayesian inference. The proposed first-order knowledge based approach endeavours to address each of the traditional Bayesian network problems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
