The article introduces a new way to analyze uncertain information using a method called ProbLog. This method helps determine which arguments are acceptable based on their relationships. The researchers show that traditional assumptions about uncertainty in logic programs don't always apply in this context. They then develop a new system called sm ProbLog to support this approach, which can help with reasoning about uncertain information in argumentation problems. The experiments conducted show that this new system is effective and can be applied to real-world datasets.