NDLI: Rational Foundations of Fast and Frugal Heuristics: The Ecological Rationality of Strategy Selection via Improper Linear Models

Content Provider	Springer Nature Link
Author	Dana, Jason Davis Stober, Clintin P.
Copyright Year	2015
Abstract	Research on “improper” linear models has shown that predetermined weighting schemes for the linear model, such as equally weighting all predictors, can be surprisingly accurate on cross-validation. We review recent advances that can characterize the optimal choice of an improper linear model. We extend this research to the understanding of fast and frugal heuristics, particularly to the ecologically rational goal of understanding in which task environments given heuristics are optimal. We demonstrate how to test this model using the Recognition Heuristic and Take the Best heuristic, show how the model reconciles with the ecological rationality program, and discuss how our prescriptive, computational approach could be approximated by simpler mental rules that might be more descriptive. Echoing the arguments of van Rooij et al. (Synthese 187:471–487, 2012), we stress the virtue of having a computationally tractable model of strategy selection, even if one proposes that cognizers use a simpler heuristic process to approximate it.
Starting Page	61
Ending Page	86
Page Count	26
File Format	PDF
ISSN	09246495
Journal	Minds and Machines
Volume Number	26
Issue Number	1-2
e-ISSN	15728641
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-06-18
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Improper linear models Heuristics Fast and frugal Adaptive toolbox Take the best Recognition heuristic Ecological rationality Artificial Intelligence (incl. Robotics) Philosophy of Mind Game Theory, Economics, Social and Behav. Sciences Cognitive Psychology Philosophy of Science Theory of Computation
Content Type	Text
Resource Type	Article
Subject	Philosophy Artificial Intelligence

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