 Probabilistic logic network

Probabilistic Logic Networks (PLNs) are a type of statistical model that combines principles from logic programming and probabilistic reasoning. They are designed to handle uncertainty in knowledge representation and reasoning, allowing for both deterministic logic and probabilistic inference to coexist. ### Key Features of Probabilistic Logic Networks: 1. **Logical Structure**: PLNs typically involve a set of logical statements or predicates that represent knowledge about a domain. These predicates can be true or false, similar to traditional logic programming.