| 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): nr 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. |
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| First posting 1999-04-06 | In ETAI Newsletter and Decision and Reasoning under Uncertainty |
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Original publication 2000-12-21 |
Postscript part I --
Checksum Postscript part II -- Checksum II |
| Info from authors | |
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