Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An Extended Relational Data Model For Probabilistic Reasoning
Journal of Intelligent Information Systems
On the Desirability of Acyclic Database Schemes
Journal of the ACM (JACM)
The notions of consistency and predicate locks in a database system
Communications of the ACM
Uncertain Information Processing in Expert Systems
Uncertain Information Processing in Expert Systems
Probabilistic Reasoning in a Distributed Multi-Agent Environment
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Theory of Relational Databases
Theory of Relational Databases
A method for implementing a probabilistic model as a relational database
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Constructing the Dependency Structure of a Multiagent Probabilistic Network
IEEE Transactions on Knowledge and Data Engineering
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In this paper, we introduce a probabilistic relational data model as the basis for developing multi-agent probabilistic reasoning systems. Since our model subsumes the traditional relational data model, it immediately follows that we can take full advantage of the existing distributed and concurrency control techniques to address the undesirable characteristics exhibited by current multi-agent probabilistic reasoning systems. Thereby, our probabilistic relational data model has important theoretical and practical ramifications. One unified model allows the cross-fertilization of techniques, and serves as a basis for implementing one system for both of these similar domains.