Credibility of abducible multiple causes of observed effects

  • Anio O. Arigoni
Section II Approaches To Uncertainty D) General Issues
Part of the Lecture Notes in Computer Science book series (LNCS, volume 286)


One crucial problem in Artificial Intelligence is succeeding in managing uncertain knowledge. By the present paper, a particular type of uncertainty is considered: that on the possible causes of observed effects. Said uncertainty will be formalized by means of the credibility of the causes themselves. Credibility that will be achieved by convolving, through an abductive paradigm: the evidence with which each cause is indicated by obtained observations; the plausibility of the same cause; and the clarity of the performed indication. The issue results as an outline of the matter developed in earlier papers; in it, intermediate passages and proofs are abridged.


Possibility Distribution Syllogicistic Reasoning Uncertain Knowledge Relative Ambiguity Intermediate Passage 
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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Anio O. Arigoni
    • 1
  1. 1.Department of MathematicsUniversity of BolognaBolognaItaly

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