Computational Modeling in Cognitive Science: A Manifesto for Change

Topics in Cognitive Science 4 (3):332-341 (2012)
Abstract
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
Keywords Cognitive modeling  Computational modeling
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Paul Thagard (1986). Computational Models in the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335.
Paul Thagard (1998). Computation and the Philosophy of Science. In T. W. Bynum & J. Moor (eds.), The Digital Phoenix. Cambridge: Blackwell.
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