Abstract
Besides triggered notification, intelligent notification keeps track of human users plans and events to be expected in the future. As states of the notification system vary in time, best choices for notification do as well. In order to employ the knowledge about future information states, notification planning is modelled by influence diagrams with developing information states explicitly given per notification time point.
So far, the approach is restricted to the application domain of route guidance, where human users plans are well structured and information about expected events is available.
This research was supported by the German Research Society, Berlin-Brandenburg Graduate School in Distributed Information Systems (DFG grant no. GRK 316).
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© 2003 Springer-Verlag Wien
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Schaal, M., Lenz, HJ. (2003). Notification Planning with Developing Information States. In: Della Riccia, G., Dubois, D., Kruse, R., Lenz, HJ. (eds) Planning Based on Decision Theory. International Centre for Mechanical Sciences, vol 472. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2530-4_4
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DOI: https://doi.org/10.1007/978-3-7091-2530-4_4
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