Title of article
Testing the descriptive validity of possibility theory in human judgments of uncertainty Original Research Article
Author/Authors
Eric Raufaste، نويسنده , , Rui Da Silva Neves، نويسنده , , Claudette Mariné، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
22
From page
197
To page
218
Abstract
Many works in the past showed that human judgments of uncertainty do not conform very well to probability theory. The present paper reports four experiments that were conducted in order to evaluate if human judgments of uncertainty conform better to possibility theory. At first, two experiments investigate the descriptive properties of some basic possibilistic measures. Then a new measurement apparatus is used, the Ψ-scale, to compare possibilistic vs. probabilistic disjunction and conjunction. Results strongly suggest that a human judgment is qualitative in essence, closer to a possibilistic than to a probabilistic approach of uncertainly. The paper also describes a qualitative heuristic, for conjunction, which was used by expert radiologists.
Keywords
Possibility theory , Judgment , Uncertainty , Decision-making , Diagnosis
Journal title
Artificial Intelligence
Serial Year
2003
Journal title
Artificial Intelligence
Record number
1207287
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