SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation

  title={SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation},
  author={Avi Pfeffer and Daphne Koller and Brian Milch and Ken T. Takusagawa},
In previous work, we pointed out the limitations of standard Bayesian networks as a modeling framework for large, complex domains. We proposed a new, richly structured modeling language, Object-oriented Bayesian Networks, that we argued would be able to deal with such domains. However, it turns out that OOBNs are not expressive enough to model many interesting aspects of complex domains: the existence of specific named objects, arbitrary relations between objects, and uncertainty over domain… CONTINUE READING
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