Title: Probabilistic Argumentation Systems and Abduction
Authors: J. Kohlas, R. Haenni, and D. Berzati
Series: Linköping Electronic Articles in Computer and Information Science
ISSN 1401-9841
Issue: Vol. 5 (2000), No. 023
URL: http://www.ep.liu.se/ea/cis/2000/023/

Abstract: 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.

First posting
1999-04-06
In ETAI Newsletter and Decision and Reasoning under Uncertainty
Original publication
2000-12-21
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This article was first posted on the Internet as specified under "First posting", and appeared on the E-press server on the date specified under "Original publication".