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AAAI 2005

Temporal Dynamic Controllability Revisited

Conference Paper Planning and Scheduling Artificial Intelligence

Abstract

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.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
555663274497270751
v2026.09.13