Switch to: References

Add citations

You must login to add citations.
  1. Evaluation of the plausibility of a conclusion derivable from several arguments with uncertain premises.Christian George - 1999 - Thinking and Reasoning 5 (3):245 – 281.
    Previous studies with adult participants have investigated reasoning from one or two uncertain premises with simple deductive arguments. Three exploratory experiments were designed to extend these results by investigating the evaluation of the plausibility of the conclusion of "combined" arguments, i.e. arguments constituted by two or more "atomic" standard arguments which each involved the same conclusion and one uncertain premise out of two. One example is "If she meets Nicolas it is very improbable she will go to the swimming pool; (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • On evidential reasoning in a hierarchy of hypotheses.Judea Pearl - 1986 - Artificial Intelligence 28 (1):9-15.
    Download  
     
    Export citation  
     
    Bookmark   10 citations  
  • A belief network approach to optimization and parameter estimation: application to resource and environmental management.Olli Vans - 1998 - Artificial Intelligence 101 (1-2):135-163.
    Download  
     
    Export citation  
     
    Bookmark  
  • Evidential reasoning rule for evidence combination.Jian-Bo Yang & Dong-Ling Xu - 2013 - Artificial Intelligence 205 (C):1-29.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • A comparison of two evidential reasoning schemes.Chia-Hoang Lee - 1988 - Artificial Intelligence 35 (1):127-134.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Reasoning from uncertain premises.Christian George - 1997 - Thinking and Reasoning 3 (3):161 – 189.
    Previous studies have shown that 1 participants are reluctant to accept a conclusion as certainly true when it is derived from a valid conditional argument that includes a doubtful premise, and 2 participants typically link the degree of uncertainty found in a given premise set to its conclusion. Two experiments were designed to further investigate these phenomena. Ninety adult participants in Experiment 1 were first asked to judge the validity of three conditional arguments Modus Ponens, Denial of the Antecedent, and (...)
    Download  
     
    Export citation  
     
    Bookmark   30 citations  
  • Implementing Dempster's rule for hierarchical evidence.Glenn Shafer & Roger Logan - 1987 - Artificial Intelligence 33 (3):271-298.
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • The refinement of probabilistic rule sets: Sociopathic interactions.David C. Wilkins & Yong Ma - 1994 - Artificial Intelligence 70 (1-2):1-32.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Measures of uncertainty in expert systems.Peter Walley - 1996 - Artificial Intelligence 83 (1):1-58.
    Download  
     
    Export citation  
     
    Bookmark   15 citations  
  • Dempster's rule of combination is #P-complete.Pekka Orponen - 1990 - Artificial Intelligence 44 (1-2):245-253.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Extending the Applicability of the Theory of Evidence in Rule-Based Systems.S. Gaglio, P. P. Puliafito, M. Paolucci & P. P. Perotto - 1992 - Journal of Intelligent Systems 1 (4):337-364.
    Download  
     
    Export citation  
     
    Bookmark  
  • Approximations for efficient computation in the theory of evidence.Bj∅Rnar Tessem - 1993 - Artificial Intelligence 61 (2):315-329.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • A method of managing complex fuzzy information.Neng-Liang Jeang & Ying-Kuei Yang - 2002 - In Robert Trappl (ed.), Cybernetics and Systems. Austrian Society for Cybernetics Studies. pp. 33--1.
    Download  
     
    Export citation  
     
    Bookmark  
  • A method for managing evidential reasoning in a hierarchical hypothesis space: a retrospective.Jean Gordon & Edward H. Shortliffe - 1993 - Artificial Intelligence 59 (1-2):43-47.
    Download  
     
    Export citation  
     
    Bookmark