Simple heuristics for guiding information search

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Authors
  1. Bryant, D.J.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN)
Abstract
This report reviews the concept of optimal stopping—deciding to shift information foraging effort from one’s current activity to another—and potential heuristic stopping rules that are applicable to basic types of information searches. Optimal stopping rules can be derived on the basis of the Marginal Value Theorem but heuristic stopping rules have been devised as alternatives to formal computation. These heuristics have been proven to be optimal under certain conditions, depending on the distribution of information across patches. The application of clear and appropriate stopping rules to guide analysts’ information search could help analysts become more efficient information foragers. This research could also contribute to the development of decision support concepts, such as providing real-time information regarding the gains and costs of information foraging.

Il y a un résumé en français ici.

Keywords
Information foraging;heuristic;optimization
Report Number
DRDC-RDDC-2017-R119 — Scientific Report
Date of publication
01 Sep 2017
Number of Pages
40
DSTKIM No
CA045576
CANDIS No
805998
Format(s):
Electronic Document(PDF)

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