Homepage
| Files: | Description | Format |
| Fulltext | PDF (requires Acrobat Reader) | |
| Fulltext part 1 | PostScript (requires a PostScript Reader) | |
| Fulltext part 2 | PostScript (requires a PostScript Reader) | |
| 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 | |