An Approximate Nonmyopic Computation for Value of Information

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KSL-91-15 +  redirect page

An Approximate Nonmyopic Computation for Value of Information +  Has identifier

An Approximate Nonmyopic Computation for Value of Information +  Ksl tr id

An Approximate Nonmyopic Computation for Value of Information +  Number

An Approximate Nonmyopic Computation for Value of Information

Bibtype  techreport

Has publishing details  1991

Has title  An Approximate Nonmyopic Computation for Value of Information

Has where published  KSL-91-15

Has year  1991

Title  An Approximate Nonmyopic Computation for Value of Information

Year  1991

Abstract  Value-of-information analyses provide a st Value-of-information analyses provide a straightforward means for selecting the best next observation to make, and for determining whether it is better to gather additional information or to act immediately. Determining the next best test to perform, given a state of uncertainty about the world, requires a consideration of the value of making all possible sequences of observations. In practice, decision analysts and expert-system designers have avoided the intractability of exact computation of the value of information by relying on a myopic approximation. Myopic analyses are based on the assumption that only one additional test will be performed, even when there is an opportunity to make a large number of observations. We present a nonmyopic approximation for value of information that bypasses the traditional myopic analyses by exploiting the statistical properties of large samples. e statistical properties of large samples.

Address  University of California, Los Angeles +

Author  David Heckerman and Eric Horvitz and Blackford Middleton +

Has author  David Heckerman and Eric Horvitz and Blackford Middleton +

Has identifier  An Approximate Nonmyopic Computation for Value of Information +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  An Approximate Nonmyopic Computation for Value of Information +

Number  An Approximate Nonmyopic Computation for Value of Information +

Process note  YES +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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