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Author Ramoni, Marco
Source CiteSeerX
Content type Text
Publisher Morgan Kaufman
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Decision Maker ♦ Graphic Formalism ♦ Decision Making ♦ Large Amount ♦ Compact Representation ♦ Net Gain ♦ Traditional Id ♦ Decision Theory ♦ Required Information ♦ Influence Diagram ♦ Incomplete Information ♦ New Class ♦ Decision Problem ♦ Ignorant Influence Diagram ♦ Available Information ♦ Normative Framework ♦ Traditional Sensitivity Analysis ♦ Single Analytical Measure ♦ New Method
Description in Proceedings of the International Joint Conference on Artificial Intelligence
Influence Diagrams (ids) are a graphic formalism able to provide a compact representation of decision problems. ids are based on the axioms of probability and decision theory, and they define a normative framework to model decision making. Unfortunately, ids require a large amount of information that is not always available to the decision maker. This paper introduces a new class of ids, called Ignorant Influence Diagrams (iids), able to reason on the basis of incomplete information and to improve the accuracy of their decisions as a monotonically increasing function of the available information. iids represent a net gain with respect to the traditional ids, since they are able to explicitly represent lack of information, without loosing any capability of traditional ids when the required information is available. Furthermore, iids provide a new method to assess the reliability of the decisions by replacing the traditional sensitivity analysis with a single analytical measure.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1995-01-01