We present a solution to the problem of understanding a system that produces
a sequence of temporally ordered observations. Our solution is based on
generating and interpreting a set of temporal decision rules. A temporal
decision rule is a decision rule that can be used to predict or retrodict the
value of a decision attribute, using condition attributes that are observed at
times other than the decision attribute's time of observation.