AIC Seminar Series
Exploiting the Structure of Hierarchical Plans in Temporal Reasoning
Date: 2005-09-22 at 16:00
Location: EJ228 (Directions)
Quantitative temporal constraints are an essential requirement for many
AI planning domains. For real-life applications, the HTN planning
paradigm has often proven to be better suited than other planning
approaches. To date, however, efficiently integrating temporal
reasoning with HTN planning has been little explored. We describe a
means to exploit the structure of a HTN plan when performing temporal
propagation on an associated Simple Temporal Network. By exploiting the
natural restriction on permitted temporal constraints, the time
complexity of propagation can be sharply reduced, while completeness of
the inference is maintained. The approach has been implemented in SRI's
PASSAT planning system, where empirical results indicate an order of
magnitude improvement on real-world plans.
Neil Yorke-Smith is a Computer Scientist at SRI’s Artificial
Intelligence Center. He received his Ph.D. from Imperial College London
with thesis research focused on handling uncertainty in constraint-based
reasoning. His research interests include temporal reasoning, planning
and scheduling, advisable agents, and constraint programming, and their
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