• Corpus ID: 14203192

Probabilistic State-Dependent Grammars for Plan Recognition

@article{Pynadath2000ProbabilisticSG,
  title={Probabilistic State-Dependent Grammars for Plan Recognition},
  author={David V. Pynadath and Michael P. Wellman},
  journal={ArXiv},
  year={2000},
  volume={abs/1301.3888}
}
Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represent an agent's plan-generation process. The PSDG language model extends probabilistic contextfree grammars (PCFGs) by allowing production probabilities to depend on an explicit model of the planning agent's internal and external state. Given a PSDG description of the plan-generation process, we can then use inference… 

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