BayesFusion Support Forum

Howdy,

Suppose one had a fault that results in multiple observables:

> F -> (O1, O2)

We can use the diagnosis engine to calculate the information gain
of O1 or O2 and rank them accordingly.

However, imagine that we also have the capability of running an automated test that observes O1 and O2 ...

Howdy,

I am wondering if the documentation is correct for the Diagnosis page:

http://genie.sis.pitt.edu/wiki/Support_for_Diagnosis:_Diagnostic_window

The page claims:

> The basis for ranking will be calculated for the table according to the
> following equation:
>
> E(F1) = P(F1|T1) + alpha ...

Thanks for your reply. I didn't realize that you could select multiple targets in the diagnosis view!

Dear SMILE Team,

Here is another variation of a network that has odd information implications.
We have a link from C-> B, but this link is uninformative. The outcome of C does not affect the outcome of B so observing B does not tell us about C.
However, observing B still tells us about A ...

Dear SMILE Team,

I have a network where 'A ' and 'C' are 'target's and
'B' and 'D' are observations

A-> B

C-> {D,B}


If I use the 'test view' from the diagnosis menu I see that both
'D' and 'B' are informative.

If I break this into two networks, I should in theory still be able to
still compute ...