Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

Computational models of cognition provide an interface to connect advanced mathematical tools and methods to empirically supported theories of behavior in psychology, cognitive science, and neuroscience. In this article, we consider a computational model of instance-based learning, implemented in th...

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Bibliographic Details
Main Authors: Nadia Said, Michael Engelhart, Christian Kirches, Stefan Körkel, Daniel V Holt
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4936697?pdf=render

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http://europepmc.org/articles/PMC4936697?pdf=render

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