Extensions of Dynamic Information Systems in State Prediction Problems: the First Study
Krzysztof Pancerz · 2008
The paper is devoted to the appli-cation of extensions of dynamic in-formation systems to state predic-tion problems. A dynamic informa-tion system can describe states of processes observed in a given sys-tem and transitions among them. If we extend a given dynamic in-formation system by adding some new transitions among states which have not been observed yet, then we are interested in degrees of con-sistency of added transitions with the knowledge about transitions in-cluded in the original dynamic in-formation system. Such information can be helpful in predicting possibil-ity of appearing in the future transi-tions among states in the examined system. In the paper, we propose some approach how to compute a possibility factor of appearing new transitions among states.