This paper describes a system for the systematic construction and evaluation of planning strategies. It is based on a proper formal account of refinement planning and allows you to decouple plan-deficiency detection, refinement computation, and search control. In adopting this methodology, planning strategies can be explicitly described and easily deployed in various system configurations.

We introduce novel domain-independent planning strategies that are applicable to a wide range of planning capabilities and methods. These so-called HotSpot strategies are guided by information about current plan defects and solution options. The results of a first empirical performance evaluation are presented in the context of hybrid planning.

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@InProceedings{schattenberg:bidot:biundo:07,
author =    {Bernd Schattenberg and Julien Bidot and Susanne Biundo},
  title =     {On the Construction and Evaluation of Flexible Plan-Refinement
  Strategies}, 
booktitle = {KI 2007: Advances in Artificial Intelligence, Proceedings of the
30th German Conference on Artificial Intelligence},   
Editor =    {Joachim Hertzberg and Michael Beetz and Roman Englert},  
series=     {Lecture Notes in Artificial Intelligence},  
volume=     {4667},  
pages =     {367-381},  
year =      {2007}, 
address =   {Osnabr{\"u}ck, Germany},  
month =     september,  publisher = {Springer}}