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The article in the issue 6:2:
The date of the publication:
2017-08-12
The number of pages:
154
The issue:
6:2
Commentaries:
1
The Authors
Andrew Schumann, Joshua Halberstam, Michael Chernick, Mauro Zonta, Sergey Dolgopolski, Hany Azazy, Michael Nosonovsky, Ely Merzbach, Moshe Koppel,
Moshe Koppel is a professor of computer science at Bar-Ilan University. His main area of research involves the use of machine learning techniques for text analysis. He is also the founder of DICTA, a research institute devoted to applications of computational linguistics to Jewish texts.
ARTICLE:
Probabilistic Foundations of Rabbinic Methods
for Resolving Uncertainty
autor: Moshe Koppel,
We consider several fundamental principles of rabbinic
approaches to handling uncertainty for legal purposes. We find that nonnumerical
versions of ideas subsequently developed in the literature on
interpretations of probabilistic statements are useful for explicating these
rabbinic principles.
