Modeling Human Information Acquisition Strategies

Annerieke Heuvelink, Michel C. A. Klein, Rianne van Lambalgen

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


The focus of this paper is the development of a computational
model for intelligent agents that decides on whether to acquire
required information by retrieving it from memory or by
interacting with the world. First, we present a task for which
such decisions have to be made. Next, we discuss an
experiment that shows that humans do not apply rational
expected utility analysis to make this decision, but instead
adopt a simpler heuristic strategy. Then, we introduce a
computational model that incorporates the rational as well as
various heuristic task strategies. The human data is compared
to the behavior of the model under several parameter settings.
We were able to match the human actions with model actions
for various task strategies, suggesting that humans differ in
the task strategies they apply, and that our manner to deduce
heuristic task strategies is feasible.
Original languageEnglish
Title of host publicationProceedings of the 31th Annual Conference of the Cognitive Science Society (Cogsci09)
EditorsNiels A. Taatgen, Hedderik van Rijn
Place of PublicationAmsterdam, the Netherland
PublisherCognitive Science Society
Number of pages6
Publication statusPublished - 1 Jul 2009


Dive into the research topics of 'Modeling Human Information Acquisition Strategies'. Together they form a unique fingerprint.

Cite this