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Seeking predictions from a predictive framework

Published online by Cambridge University Press:  24 June 2013

T. Florian Jaeger
Affiliation:
Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627-0268. fjaeger@bcs.rochester.edu http://www.hlp.rochester.edu/ Department of Computer Science, University of Rochester, Rochester, NY 14627.
Victor Ferreira
Affiliation:
Department of Psychology 0109, University of California, San Diego, La Jolla, CA 92093-0109. vferreira@ucsd.edu http://lpl.ucsd.edu/

Abstract

We welcome the proposal to use forward models to understand predictive processes in language processing. However, Pickering & Garrod (P&G) miss the opportunity to provide a strong framework for future work. Forward models need to be pursued in the context of learning. This naturally leads to questions about what prediction error these models aim to minimize.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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Seeking predictions from a predictive framework
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