A Study of Associative Evidential Reasoning

Cheng, Yizong, Kashyap, Rangasami L.

arXiv.org Artificial Intelligence 

Evidential reasoning is cast as the problem of simplifying the evidence-hypothesis relation and constructing combination formulas that possess certain testable properties. Important classes of evidence as identifiers, annihilators, and idempotents and their roles in determining binary operations on intervals of reals are discussed. The appropriate way of constructing formulas for combining evidence and their limitations, for instance, in robustness, are presented.

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