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Hybrid Probabilistic Programs: Algorithms and Complexity
 In Proceedings UAI99
, 1999
"... 1 Introduction Computing the probability of a complex event from the probability of the primitive events constituting it depends upon the dependencies (if any) known to exist between the events being composed. For example, consider two events e1; e2. The probability, P(e1 ^ e2) of the occurrence of ..."
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Cited by 20 (3 self)
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1 Introduction Computing the probability of a complex event from the probability of the primitive events constituting it depends upon the dependencies (if any) known to exist between the events being composed. For example, consider two events e1; e2. The probability, P(e1 ^ e2) of the occurrence of both is events is 0 if the events are mutually exclusive. However, if the events are independent, then P(e1 ^ e2) = P(e1) \Theta P(e2). If we are ignorant of the relationship between these two events, then, as stated by Boole[1], the best we can say about P(e1 ^ e2) is that it lies in the interval [max(0; P(e1) + P(e2) \Gamma 1); min(P(e1); P(e2)]. In short, computing the probability of a complex event depends fundamentally upon our knowledge about the dependences between the events involved. In [2] we proposed a language called Hybrid Probabilistic (Logic)
Semistructured Probabilistic Databases
 In Proc. Statistical and Scientific Database Management Systems
, 2001
"... This work describes a new framework for uniform storage and management of diverse probabilistic information. ..."
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Cited by 19 (13 self)
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This work describes a new framework for uniform storage and management of diverse probabilistic information.
Managing uncertainty and vagueness in description logics, logic programs and description logic programs
, 2008
"... Managing uncertainty and/or vagueness is starting to play an important role in Semantic Web representation languages. Our aim is to overview basic concepts on representing uncertain and vague knowledge in current Semantic Web ontology and rule languages (and their combination). ..."
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Cited by 16 (5 self)
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Managing uncertainty and/or vagueness is starting to play an important role in Semantic Web representation languages. Our aim is to overview basic concepts on representing uncertain and vague knowledge in current Semantic Web ontology and rule languages (and their combination).
Approximate wellfounded semantics, query answering and generalized normal logic programs over lattices
, 2008
"... Abstract The management of imprecise information in logic programs becomes important whenever the real world information to be represented is of an imperfect nature and the classical crisp true, false approximation is not adequate. In this work, we consider normal logic programs over complete lattic ..."
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Cited by 1 (0 self)
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Abstract The management of imprecise information in logic programs becomes important whenever the real world information to be represented is of an imperfect nature and the classical crisp true, false approximation is not adequate. In this work, we consider normal logic programs over complete lattices, where computable truth combination functions may appear in the rule bodies to manipulate truth values and we will provide a topdown query answering procedure. Keywords Logic programming · Nonmonotonic logic · Manyvalued logic