Incremental Plan Recognition in an Agent Programming Language

Alexandra Goultiaeva, Yves Lesperance

In this paper, we propose a formal model of plan recognition for inclusion in a cognitive agent programming framework. The model is based on the Situation Calculus and the ConGolog agent programming language. This provides a very rich plan specification language. Our account also supports incremental recognition, where the set of matching plans is progressively filtered as more actions are observed. This is specified using a transition system account. The model also supports hierarchically structured plans and recognizes subplan relationships.

Subjects: 11. Knowledge Representation; 1.5 Diagnosis

Submitted: May 15, 2007


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