Robert Dodier wrote on 06/12/2018 19:33:
Hi everybody,
I am catching up on current research in Bayesian belief networks after some
years in the wilderness. I'm interested in the possibility of Bayesian
inference applications in medicine. Towards that end, I think explanation or
some other qualitative presentation of results could be important to help
people understand how and why results are generated.
A web search seems to find references that I remember seeing before, such as the
excellent article by Madigan et al., "Graphical Explanation in Belief
Networks". However i can't seem to find more recent works on this topic. I also
browsed the proceedings of the UAI conference and came up empty handed. I guess I must be
overlooking something.
If someone can point me to publications or other resources about explanation or
other forms of qualitative analysis in belief networks or probabilistic models
more generally, I'll be very appreciative.
Dear Robert,
These publications are not recent but might be interesting for you.
C. Lacave, F. J. Díez (2002). A review of explanation methods for
Bayesian networks. Knowledge Engineering Review 17:107-127.
C. Lacave, F. J. Díez (2004) A review of explanation methods for
heuristic expert systems. Knowledge Engineering Review 19:133-146.
C. Lacave, A. Oniśko, F. J. Díez (2006) Use of Elvira's explanation
facility for debugging probabilistic expert systems. Knowledge-Based
Systems 19:730-738.
C. Lacave, M. Luque, F. J. Díez (2007) Explanation of Bayesian networks
and influence diagrams in Elvira. IEEE Transactions on Systems, Man, and
Cybernetics, Part B, 37:952-965.
Most of the explanation facilities developed for Elvira are now
implemented in its successor, OpenMarkov, www.openmarkov.org.
You may also find interesting explanation facilities in GeNIe, which is
distributed by BayesFusion, www.bayesfusion.com.
If you find more recent references, please let us know. I am very
interested in the topic, but I don't remember seeing any progress in the
last years.
Best wishes
Javier
-----------------------------------------------------------------
Francisco Javier Diez
Dept. Artificial Intelligence Phone: +34-913987161
UNED. c/Juan del Rosal, 16 www.ia.uned.es/~fjdiez
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