Constraining ACT-R models of decision strategies: An experimental paradigm

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State: Public
Version: Final published version
Serval ID
serval:BIB_C4CBC74058B5
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Constraining ACT-R models of decision strategies: An experimental paradigm
Title of the conference
Proceedings of the 35th Annual Conference of the Cognitive Science Society
Author(s)
Dimov C., Marewski J. N., Schooler L. J.
Publisher
Austin, TX: Cognitive Science Society
ISBN
978-0-9768318-9-1
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Editor
Knauff M., Pauen M., Sebanz N., Wachsmuth I.
Pages
2201-2206
Language
english
Abstract
It has been repeatedly debated which strategies people rely on in inference. These debates have been difficult to resolve, partially because hypotheses about the decision processes assumed by these strategies have typically been formulated qualitatively, making it hard to test precise quantitative predictions about response times and other behavioral data. One way to increase the precision of strategies is to implement them in cognitive architectures such as ACT-R. Often, however, a given strategy can be implemented in several ways, with each implementation yielding different behavioral predictions. We present and report a study with an experimental paradigm that can help to identify the correct implementations of classic compensatory and non-compensatory strategies such as the take-the-best and tallying heuristics, and the weighted-linear model.
Create date
15/04/2013 12:39
Last modification date
20/08/2019 15:40
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