Addyman, Caspar and French, Robert M.. 2012. Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science, 4(3), pp. 332-341. ISSN 1756-8757 [Article]

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Abstract or Description

Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models to non-programming researchers is essentially non-existent, and even for other modelers, the profusion of source code in a multitude of programming languages, written without programming guidelines, makes it almost impossible to access, check, explore, re-use, or continue to develop. It is high time to change this situation, especially since the tools are now readily available to do so. We propose that the modeling community adopt three simple guidelines that would ensure that computational models would be accessible to the broad range of researchers in cognitive science. We further emphasize the pivotal role that journal editors must play in making computational models accessible to readers of their journals.

Item Type:	Article
Identification Number (DOI):	https://doi.org/10.1111/j.1756-8765.2012.01206.x
Additional Information:	This work was funded in part by the French Agence Nationale de la Recherche Grant ANR-10-065-GETPIMA and United Kingdom Economic and Social Research Council Grant RES-062-23-0819 under the auspices of the Open Research Area France–United Kingdom funding initiative.
Keywords:	cognitive modeling, computational modeling
Departments, Centres and Research Units:	Psychology
Dates:	Date Event 2012 Published
Item ID:	16121
Date Deposited:	08 Jan 2016 12:57
Last Modified:	30 Jun 2017 12:48
Peer Reviewed:	Yes, this version has been peer-reviewed.
URI:	https://research.gold.ac.uk/id/eprint/16121

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