AIMar 27, 2013
Directed Cycles in Belief Networks
arXiv:1304.1534v1
Originality Synthesis-oriented
AI Analysis
This addresses a fundamental gap in probabilistic reasoning for AI and decision-making systems, but it is incremental as it highlights an existing issue rather than solving it.
The paper identifies handling directed cycles in belief networks as the most difficult task in probabilistic reasoning, noting that there has been no serious discussion of this problem in the literature.
The most difficult task in probabilistic reasoning may be handling directed cycles in belief networks. To the best knowledge of this author, there is no serious discussion of this problem at all in the literature of probabilistic reasoning so far.