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ICAPS 2013

Incremental Dynamic Controllability Revisited

Conference Paper Short Papers Artificial Intelligence · Automated Planning and Scheduling

Abstract

Simple Temporal Networks with Uncertainty (STNUs) allow the representation of temporal problems where some durations are determined by nature, as is often the case for actions in planning. As such networks are generated it is essential to verify that they are dynamically controllable -- executable regardless of the outcomes of uncontrollable durations -- and to convert them to a dispatchable form. The previously published FastIDC algorithm achieves this incrementally and can therefore be used efficiently during plan construction. In this paper we show that FastIDC is not sound when new constraints are added, sometimes labeling networks as dynamically controllable when they are not. We analyze the algorithm, pinpoint the cause, and show how the algorithm can be modified to correctly detect uncontrollable networks.

Authors

Keywords

  • Dynamic Controllability
  • Temporal Constraints

Context

Venue
International Conference on Automated Planning and Scheduling
Archive span
1990-2024
Indexed papers
1573
Paper id
214397056633085009
v2026.09.13