Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Selected papers of international conference on Fifth generation computer systems 92
The independent choice logic for modelling multiple agents under uncertainty
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Reasoning about noisy sensors and effectors in the situation calculus
Artificial Intelligence
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Learning Probabilistic Relational Models
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Machine Learning
Semantic Science: Ontologies, Data and Probabilistic Theories
Uncertainty Reasoning for the Semantic Web I
Ontology Design for Scientific Theories That Make Probabilistic Predictions
IEEE Intelligent Systems
Logical generative models for probabilistic reasoning about existence, roles and identity
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Lifted probabilistic inference with counting formulas
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Lifted first-order belief propagation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
PRISM: a language for symbolic-statistical modeling
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Operations for learning with graphical models
Journal of Artificial Intelligence Research
ProbLog: a probabilistic prolog and its application in link discovery
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
First-order probabilistic inference
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Representing diagnostic knowledge for probabilistic Horn abduction
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Symbolic dynamic programming for first-order MDPs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
The independent choice logic and beyond
Probabilistic inductive logic programming
Artificial Intelligence: Foundations of Computational Agents
Artificial Intelligence: Foundations of Computational Agents
Semantically-enabled large-scale science data repositories
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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Over the last 25 years there has been considerable body of research into combinations of predicate logic and probability forming what has become known as (perhaps misleadingly) statistical relational artificial intelligence (StaR-AI). I overview the foundations of the area, give some research problems, proposed solutions, outstanding issues, and clear up some misconceptions that have arisen. I discuss representations, semantics, inference and learning, and provide some references to the literature. This is intended to be an overview of foundations, not a survey of research results.