Project planning under temporal uncertainty
Susanne Biundo, Roland Holzer, Bernd Schattenberg · 2005
Abstract. This paper presents an approach towards probabilistic planning with continuous time. It adopts stochastic concepts for continuous probabilities and integrates them into an HTN-based planning framework. Based on uncertain time durations associated with primitive tasks the time consumption probabilities of non-linear plans can be accumulated and thus an overall probability for a successful execution of complex tasks can be derived that guide the search towards plans with a minimized average value/variance of their overall time consumption. An example from software project planning is used to demonstrate our approach. 1