Probabilistic Argumentation Systems and Abduction

Probabilistic argumentation systems are based on assumption-based reasoning for obtaining arguments supporting hypotheses and on probability theory to compute probabilities of supports. Assumption-based reasoning is closely related to hypothetical reasoning or inference through theory formation. The latter approach has well known relations to abduction and default reasoning. In this paper assumption-based reasoning, as an alternative to theory formation aiming at a di erent goal, will be presented and its use for abduction and model-based diagnostics will be explained. Assumption-based reasoning is well suited for de ning a probability structure on top of it. On the base of the relationships between assumption-based reasoning on the one hand and abduction on the other hand, the added value introduced by probability into model based diagnostics will be discussed.

• Type: Journal
• Year: 2002
• Where: AMAI
• Authors: Jürg Kohlas, Dritan Berzati, Rolf Haenni
• Keywords: AMAI 2002, Artificial Intelligence, Assumption-based Reasoning, Probabilistic Argumentation Systems, Theory Formation