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Belief functions and default reasoning
Artificial Intelligence 122 (1--2):1--69 (2000)
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Citations of this work
Proof with and without probabilities: Correct evidential reasoning with presumptive arguments, coherent hypotheses and degrees of uncertainty.Bart Verheij - 2017 - Artificial Intelligence and Law 25 (1):127-154.
An Overview of Possibilistic Handling of Default Reasoning, with Experimental Studies.Salem Benferhat, Jean F. Bonnefon & Rui da Silva Neves - 2005 - Synthese 146 (1-2):53-70.
Combining probabilistic logic programming with the power of maximum entropy.Gabriele Kern-Isberner & Thomas Lukasiewicz - 2004 - Artificial Intelligence 157 (1-2):139-202.
Expressive probabilistic description logics.Thomas Lukasiewicz - 2008 - Artificial Intelligence 172 (6-7):852-883.
Weak nonmonotonic probabilistic logics.Thomas Lukasiewicz - 2005 - Artificial Intelligence 168 (1-2):119-161.
References found in this work
Nonmonotonic reasoning, preferential models and cumulative logics.Sarit Kraus, Daniel Lehmann & Menachem Magidor - 1990 - Artificial Intelligence 44 (1-2):167-207.
What does a conditional knowledge base entail?Daniel Lehmann & Menachem Magidor - 1992 - Artificial Intelligence 55 (1):1-60.
Nonmonotonic inference based on expectations.Peter Gärdenfors & David Makinson - 1994 - Artificial Intelligence 65 (2):197-245.
Qualitative probabilities for default reasoning, belief revision, and causal modeling.Moisés Goldszmidt & Judea Pearl - 1996 - Artificial Intelligence 84 (1-2):57-112.
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