LiEP CIS-2000-023: Probabilistic Argumentation Systems and Abduction.

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Probabilistic Argumentation Systems and Abduction.

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.
Keywords:

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.

Keywords:

First posting 1999-04-06	In ETAI Newsletter and Decision and Reasoning under Uncertainty
Intended publication 1999-12-21	Postscript part I -- Checksum Postscript part II -- Checksum II
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