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- W1541017616 abstract "This chapter discusses probabilistic inference and non-monotonic inference. It argues that many of the usual arguments against probabilistic inference are equally applicable to other forms of nonmonotonic reasoning and that once the single hurdle of inconsistency is overcome, probabilistic inference offers advantages (in some contexts) or at least no disadvantages (in most contexts) compared to other forms of nonmonotonic reasoning. It also argues that the ability to live comfortably with certain sorts of inconsistency is an important feature of probabilistic inference and that it allows to take as a basis for planning exactly those individual probable conclusions that are collectively impossible to credit. All this is not to say that the various forms of nonmonotonic reasoning that have been explored are not useful for special purposes. It suggests both that specific instances of nonmonotonic argument can be justified by reference to probabilities and that any sort of inference that was incompatible with probabilistic inference would have some strikes against it." @default.
- W1541017616 created "2016-06-24" @default.
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- W1541017616 date "1990-01-01" @default.
- W1541017616 modified "2023-09-27" @default.
- W1541017616 title "Probabilistic Inference and Non-Monotonic Inference* *Research underlying the results reported here has been partially supported by the Signals Warfare Center of the United States Army." @default.
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- W1541017616 doi "https://doi.org/10.1016/b978-0-444-88650-7.50029-9" @default.
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