Abstract
The field of automated inference under uncertainty is too large and too young for elegant, unified presentation. We present, rather, a discussion of the principal techniques under some broad classifications. For the most important or least known techniques, we present, as appendices, introductory tutorials in order to give the reader some idea of the basic methods involved; other techniques we describe more briefly. First, after this introduction, we must cover some basic terms and philosophical ideas.
Published Version
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