The FAR-OFF System: A Heuristic Search Case-Based Planning

Flavio Tonidandel and Márcio Rillo

This paper presents a case-based planning system, called FAR-OFF, as an alternative approach to heuristic search generative planners, like HSP and FF. The FAR-OFF system introduces the use of a new similarity metric, called ADG (Action Distance-Guided), that is more accurate than other similarity metrics, and it also incorporates techniques to decrease the retrieval time, like the Footprint-based Retrieval. Consequently, the FAR-OFF system can solve more AIPS-00 planning competition problems than the heuristic search planners in an acceptable amount of time.

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