An algorithm for finding most likely explanations in valuation based systems

An algorithm for finding most likely explanations in valuation based systems

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Article ID: iaor2009537
Country: Poland
Volume: 29
Issue: 4
Start Page Number: 921
End Page Number: 936
Publication Date: Jan 2000
Journal: Control and Cybernetics
Authors: ,
Keywords: knowledge management
Abstract:

A method for finding a number of best explanations in so-called valuation based system is presented. Roughly speaking, the method allows to sort (decreasingly or increasingly) a function of many variables without explicit computation of values of this function. The only condition is that the function be decomposable, i.e. can be expressed as a combination of a number of low-dimensional functions called components. Two cases are considered: the combination operator has an inverse and a more elaborated case when the combination operator has no inverse.

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