Temporal Dynamic Controllability Revisited

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 20

Planning and Scheduling

An important issue for temporal planners is the ability to handle temporal uncertainty. We revisit the question of how to determine whether a given set of temporal requirements are feasible in the light of uncertain durations of some processes. In particular, we consider how best to determine whether a network is Dynamically Controllable, i.e., whether a dynamic strategy exists for executing the network that is guaranteed to satisfy the requirements. Previous work has shown the existence of a pseudo-polynomial algorithm for testing Dynamic Controllability. Here, we simplify the previous framework, and present a strongly polynomial algorithm with a termination criterion based on the structure of the network.