Case-Based Plan Recognition Using Action Sequence Graphs

We present SET-PR, a novel case-based plan recognition algorithm that is tolerant to missing and misclassified actions in its input action sequences. SET-PR uses a novel representation called action sequence graphs to represent stored plans in its plan library and a similarity metric that uses a com...

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Bibliographische Detailangaben
Hauptverfasser:	Vattam, Swaroop S, Aha, David W, Floyd, Michael
Format:	Report
Sprache:	eng
Schlagworte:	ALGORITHMS ARTIFICIAL INTELLIGENCE CASE-BASED REASONING CONVERGENCE ERROR TOLERANCE ERRORS GRAPH MATCHING GRAPHS Numerical Mathematics PLAN RECOGNITION PLANNING PRECISION REASONING RECOGNITION SEQUENCES SYMPOSIA TOLERANCE
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