Oddities in information gain calculation

[lobstericus]

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. Unfortunately, the test view of the diagnosis system reports that B has zero information value.

A->B
C->{B,D}

Regards,

Bob.

[shooltz[BayesFusion]]

Again, this is caused by default selection of the pursued fault. I guess you should pursue both A:FAIL and C:FAIL.