Representing and Reasoning With Probabilistic Knowledge: A Bayesian Approach

@inproceedings{desJardins1993RepresentingAR,
  title={Representing and Reasoning With Probabilistic Knowledge: A Bayesian Approach},
  author={Marie desJardins},
  booktitle={UAI},
  year={1993}
}
PAGODA (Probabilistic Autonomous GOal­ Directed Agent) is a model for autonomous learning in probabilistic domains [desJ ardins, 1992) that incorporates innovative techniques for using the agent's existing knowledge to guide and constrain the learning process and for representing, reasoning with, and learn­ ing probabilistic knowledge. This paper de­ scribes the probabilistic representation and inf�rence mechanism used in PAGODA. PAGODA forms theories about the effects of its actions and the… CONTINUE READING
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