The branching-time temporal logic PCTL* has been introduced to specify quantitative properties over probability systems, such as discrete-time Markov chains. Until now, however, no logics have been defined to specify properties over hidden Markov models (HMMs). In HMMs the states are hidden, and the hidden processes produce a sequence of observations. In this paper we extend the logic PCTL* to POCTL*. With our logic one can state properties such as ``there is at least a 90 percent probability that the model produces a given sequence of observations'' over HMMs. Subsequently, we give model checking algorithms for POCTL* over HMMs.
|Name||AVACS Technical Report|
|Publisher||Transregional Collaborative Research Center 14 AVACS|