Hierarchical Goal Recognition
Nate Blaylocka and James Allenb, aNuance Communications, Montreal, QC, Canada, bFlorida Institute for Human and Machine Cognition, Pensacola, FL, USA
Abstract
This chapter discusses hierarchical goal recognition: simultaneous online recognition of goals and subgoals at various levels within an HTN-like plan tree. We use statistical, graphical models to recognize hierarchical goal schemas in time quadratic with the number of the possible goals. Within our formalism, we treat goals as parameterized actions, necessitating the recognition of parameter values as well. The goal schema recognizer is combined with a tractable version of the Dempster-Shafer theory to predict parameter values for each goal schema. ...
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