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Authors: J. Kohlas, R. Haenni, and D. Berzati
Article title: Probabilistic Argumentation Systems and Abduction
Publ. type: Article
Volume: 5
Article No: 23
Language: English
Abstract [en]: 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 different goal, will be presented and its use for abduction and model-based diagnostics will be explained. Assumption-based reasoning is well suited for defining 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.
Publisher: LINKÖPING University Electronic Press
Year: 2000
Available: 2000-12-05
No. of pages: 20
Series: LINKÖPING Electronic Articles in Computer and Information Science
ISSN: 1401-9841
Note: First posting 1999-04-06 in ETAI Newsletter and Decision and Reasoning under Uncertainty


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