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A Valuation-Based Architecture for Assumption-Based Reasoning

In: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence

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  • Rolf Haenni

    (University of Fribourg, Institute of Informatics)

Abstract

Starting from assumption-based propositional knowledge bases, a symbolic evidence theory3 can be developed. This theory is the qualitative equivalent of the well known numerical Dempster-Shafer theory of evidence5. Given a propositional knowledge base and some additional facts or observations, the problem is to compute the quasi-supports, the contradictions and the supports in a symbolic form for one or a few hypotheses. The main advantage of this approach is that symbolic supports are pure arguments in favour or against certain hypotheses and they can be transformed into linguistic explanations.

Suggested Citation

  • Rolf Haenni, 1995. "A Valuation-Based Architecture for Assumption-Based Reasoning," Springer Books, in: Giulianella Coletti & Didier Dubois & Romano Scozzafava (ed.), Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, pages 255-257, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4899-1424-8_16
    DOI: 10.1007/978-1-4899-1424-8_16
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