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Probabilistic logic programming is a programming paradigm that combines logic programming with probabilities.
Semantics, Inference & Languages
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probabilistic logic probability programming program semantics set query facts distribution answer programs truth inference learning stratified language given queries inductive
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Probabilistic logic programming | is a | programming paradigm that combines logic programming with probabilities.Most approaches to probabilistic logic programming are based on the distribution semantics | 0.90 | text |
| Probabilistic Horn Abduction | instance of | which underlies many languages | 0.80 | text |
| PRISM | instance of | which underlies many languages | 0.80 | text |
| Independent Choice Logic | instance of | which underlies many languages | 0.80 | text |
| probabilistic Datalog | instance of | which underlies many languages | 0.80 | text |
| Logic Programs with Annotated Disjunctions | instance of | which underlies many languages | 0.80 | text |
| ProbLog | instance of | which underlies many languages | 0.80 | text |
| P-log | instance of | which underlies many languages | 0.80 | text |
| and CP-logic | instance of | which underlies many languages | 0.80 | text |
| Probabilistic logic programming | related to Answer set programs | The | 0.60 | section |
| Probabilistic logic programming | related to Answer set programs | This | 0.60 | section |
| Probabilistic logic programming | related to Answer set programs | P-Log | 0.60 | section |
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