000 02068nam  2200289za 4500
0019.807402
003CaOODSP
00520240219183356
007cr |||||||||||
008150723s2014    oncd    ob   f000 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aD68-2/115-2014E-PDF
1001 |aBryant, David John.
24510|aInformation foraging theory |h[electronic resource] : |ba framework for intelligence analysis / |cDavid J. Bryant.
260 |a[Ottawa] : |bDefence Research and Development Canada, |c2014.
300 |aiv, 66, [2] p. : |bfig., graphs.
4901 |aScientific report ; |v2014-R115
500 |aNovember 2014.
504 |aIncludes bibliographical references (p. 39-44).
520 |aInformation Foraging Theory (IFT) is proposed as a framework in which model information search in the military intelligence analysis domain. Information Foraging Theory explains human information search and exploitation as adaptations to the informational structure of the environment and has been used to model peoples’ preferences for information types, rules for exploiting discrete information sources, and the use of semantic cues to enhance the search process. A plan for the application of Information Foraging Theory to the military intelligence domain is described, beginning with the process of describing the task environment in which analysts work and moving to the issue of defining key Information Foraging Theory concepts in that environment. The report ends with a discussion of ways application of IFT may benefit military intelligence analysis, such as automated goal analysis and parameter tracking, enhancing information scent cues, and information visualisation techniques.
69207|2gccst|aSecurity intelligence
69207|2gccst|aInformation management
7102 |aDefence R&D Canada.
830#0|aScientific report (Defence R&D Canada)|v2014-R115|w(CaOODSP)9.802305
85640|qPDF|s794 KB|uhttps://publications.gc.ca/collections/collection_2015/rddc-drdc/D68-2-115-2014-eng.pdf