中文

Probabilistic Default Reasoning with Conditional Constraints

人工智能 2007-05-23 v1

摘要

We propose a combination of probabilistic reasoning from conditional constraints with approaches to default reasoning from conditional knowledge bases. In detail, we generalize the notions of Pearl's entailment in system Z, Lehmann's lexicographic entailment, and Geffner's conditional entailment to conditional constraints. We give some examples that show that the new notions of z-, lexicographic, and conditional entailment have similar properties like their classical counterparts. Moreover, we show that the new notions of z-, lexicographic, and conditional entailment are proper generalizations of both their classical counterparts and the classical notion of logical entailment for conditional constraints.

关键词

引用

@article{arxiv.cs/0003023,
  title  = {Probabilistic Default Reasoning with Conditional Constraints},
  author = {Thomas Lukasiewicz},
  journal= {arXiv preprint arXiv:cs/0003023},
  year   = {2007}
}

备注

8 pages; to appear in Proceedings of the Eighth International Workshop on Nonmonotonic Reasoning, Special Session on Uncertainty Frameworks in Nonmonotonic Reasoning, Breckenridge, Colorado, USA, 9-11 April 2000