Anomaly R esponse 79
Recognizing Anomalies
Formal accounts of diagnosis often over look the demands of recogniz ing, out of
many changing data channels , which changes or la ck of ch ange are anomalies, and
which are less significant (or are even distractions). The inherent v ariability of the
physical world means that changes constantly occur in the monitored proc ess that
could be relevant, in principle.
When artific ial intelligence algorithms firs t attempted to au tomate d iagnosis, the
programs relied on p eople to feed them the findings to be e xplain ed (Woods et al.,
1990). Historica lly, system developers usually labeled these as “consultants” or as
“optional advice-givers”; bu t they w ere developed in fact to move toward
autonomous sys tems ...