Artificial Intelligence
An analysis of first-order logics of probability
Artificial Intelligence
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Probabilistic logic programming
Information and Computation
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Stable semantics for probabilistic deductive databases
Information and Computation
From statistical knowledge bases to degrees of belief
Artificial Intelligence
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
The independent choice logic for modelling multiple agents under uncertainty
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Maximum-Entropy Probabilistic Logics
Maximum-Entropy Probabilistic Logics
Reasoning about Uncertainty
Cyclic combinational circuits
Machine Learning
Encoding probabilistic causal model in probabilistic action language
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Approximate inference for first-order probabilistic languages
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
CLP(BN): constraint logic programming for probabilistic knowledge
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Revising imprecise probabilistic beliefs in the framework of probabilistic logic programming
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Cp-logic: A language of causal probabilistic events and its relation to logic programming
Theory and Practice of Logic Programming
A ligand predication tool based on modeling and reasoning with imprecise probabilistic knowledge
Computer Methods and Programs in Biomedicine
The Knowledge Engineering Review
Embracing events in causal modelling: interventions and counterfactuals in CP-ogic
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Adaptive dialogue strategy selection through imprecise probabilistic query answering
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Logic programming and uncertainty
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Knowledge representation language p-log --- a short introduction
Datalog'10 Proceedings of the First international conference on Datalog Reloaded
Imprecise probabilistic query answering using measures of ignorance and degree of satisfaction
Annals of Mathematics and Artificial Intelligence
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P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various advantages of P-log have been discussed. In this paper we further elaborate on the KR prowess of P-log by showing that: (i) it can be used for causal and counterfactual reasoning and (ii) it provides an elaboration tolerant way for non-naive conditioning.