The well-founded semantics for general logic programs
Journal of the ACM (JACM)
Theory of generalized annotated logic programming and its applications
Journal of Logic Programming
Probabilistic logic programming
Information and Computation
Stable semantics for probabilistic deductive databases
Information and Computation
The independent choice logic for modelling multiple agents under uncertainty
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Disjunctive Deductive Databases
LPAR '92 Proceedings of the International Conference on Logic Programming and Automated Reasoning
Knowledge Representation with Logic Programs
LPKR '97 Selected papers from the Third International Workshop on Logic Programming and Knowledge Representation
The Well-Founded Semantics in Normal Logic Programs with Uncertainty
FLOPS '02 Proceedings of the 6th International Symposium on Functional and Logic Programming
Many-Valued Disjunctive Logic Programs with Probabilistic Semantics
LPNMR '99 Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning
Adaptive Bayesian Logic Programs
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
On a theory of probabilistic deductive databases
Theory and Practice of Logic Programming
A new approach to hybrid probabilistic logic programs
Annals of Mathematics and Artificial Intelligence
Hybrid probabilistic programs: algorithms and complexity
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Incomplete knowledge in hybrid probabilistic logic programs
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
Probabilistic reasoning about actions in nonmonotonic causal theories
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Towards a more practical hybrid probabilistic logic programming framework
PADL'05 Proceedings of the 7th international conference on Practical Aspects of Declarative Languages
A Logical Framework to Reinforcement Learning Using Hybrid Probabilistic Logic Programs
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
On the Relationship between Hybrid Probabilistic Logic Programs and Stochastic Satisfiability
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Probabilistic Reasoning by SAT Solvers
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Probabilistic Planning with Imperfect Sensing Actions Using Hybrid Probabilistic Logic Programs
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Extended Fuzzy Logic Programs with Fuzzy Answer Set Semantics
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Disjunctive fuzzy logic programs with fuzzy answer set semantics
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
| Hi-index | 0.00 |
Reasoning with qualitative and quantitative uncertainty is required in some real-world applications [6]. However, current extensions to logic programming with uncertainty support representing and reasoning with either qualitative or quantitative uncertainty. In this paper we extend the language of Hybrid Probabilistic Logic programs [29,27], originally introduced for reasoning with quantitative uncertainty, to support both qualitative and quantitative uncertainty. We propose to combine disjunctive logic programs [10,19] with Extended and Normal Hybrid Probabilistic Logic Programs (EHPP [27] and NHPP [29]) in a unified logic programming framework, to allow directly and intuitively to represent and reason in the presence of both qualitative and quantitative uncertainty. The semantics of the proposed languages are based on the answer sets semantics and stable model semantics of extended and normal disjunctive logic programs [10,19]. In addition, they also rely on the probabilistic answer sets semantics and the stable probabilistic model semantics of EHPP [27] and NHPP [29].