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Experience-based planning domains have been proposed to improve problemsolving by learning from experience. They rely on acquiring and using taskknowledge, i.e., activity schemata, for generating solutions to probleminstances in a class of tasks. Using Three-Valued Logic Analysis (TVLA), weextend previous work to generate a set of conditions that determine the scopeof applicability of an activity schema. The inferred scope is a boundedrepresentation of a set of problems of potentially unbounded size, in the formof a 3-valued logical structure, which is used to automatically find anapplicable activity schema for solving task problems. We validate this work intwo classical planning domains.

Computing the Scope of Applicability for Acquired Task Knowledge in Experience-Based Planning Domains