Probabilistic Argumentation

Probabilistic argumentation integrates logic-based argumentation with probabilistic reasoning to handle uncertainty in knowledge representation and reasoning. Current research focuses on developing efficient algorithms for computing probabilities of argument acceptability, exploring connections between probabilistic argumentation and existing probabilistic logic programming frameworks like ProbLog, and investigating the impact of different semantics and preference models on computational complexity and resulting inferences. This field is significant for its potential to improve decision-making in domains with inherent uncertainty, offering more robust and explainable reasoning systems for applications ranging from legal reasoning to risk assessment.