Information selection in intelligence processing
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Authors
Nevo, Yuval.
Subjects
Exploration Exploitation problems
Intelligence Cycle
Intelligence Processing
Intelligence Cycle
Intelligence Processing
Advisors
Kress, Moshe
Dimitrov, Nedialko B.
Date of Issue
2011-12
Date
December 2011
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
In many intelligence agencies, the processing of data into usable information ready for analysis poses a significant bottleneck. Typically, much more data is available than what can be processed in the limited time available for processing. We formulate the problem faced by an intelligence collection unit, when processing incoming raw information for delivery to intelligence analysts, as an exploration-exploitation problem: the processor has to choose between exploring for new sources of relevant information and exploiting known sources. To address the exploration-exploitation problem, we develop a mathematical model of the processor's knowledge and examine algorithms that allow the processor to maximize the discovery of relevant data given a time limit. We derive insights on the performance of different algorithms using a simulated case study.
Type
Description
Series/Report No
Department
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
xx, 113 p ; 28 cm.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.