Plan Repair in Hybrid Planning

Authors:
Julien Bidot;Bernd Schattenberg;Susanne Biundo
Affiliations:
Institute for Artificial Intelligence, Ulm University, Germany;Institute for Artificial Intelligence, Ulm University, Germany;Institute for Artificial Intelligence, Ulm University, Germany
Venue:
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Year:
2008

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Abstract

We present a domain-independent approach to plan repair in a formal framework for hybrid planning. It exploits the generation process of the failed plan by retracting decisions that led to the failed plan fragments. They are selectively replaced by suitable alternatives, and the repaired plan is completed by following the previous generation process as close as possible. This way, a stable solution is obtained, i.e. a repair of the failed plan that causes minimal perturbation.