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Computational modeling in cognitive science: a manifesto for change
Caspar Addyman1, Robert M French
1Centre for Brain and Cognitive Development, Birkbeck, University of London. c.addyman@bbk.ac.uk
Topics in Cognitive Science
|June 20, 2012
Summary
Computational modeling in cognitive science needs modernization. Adopting simple guidelines and journal editor support can make models accessible to more researchers, fostering collaboration and advancement.
Area of Science:
- Cognitive Science
- Computational Neuroscience
- Human-Computer Interaction
Background:
- Computational modeling is a cornerstone of cognitive science.
- Current modeling practices lag behind technological advancements, particularly in human-computer interfaces.
- Lack of standardized practices hinders model accessibility, reusability, and collaboration.
Purpose of the Study:
- To advocate for the modernization of computational modeling practices in cognitive science.
- To propose simple guidelines for enhancing model accessibility.
- To highlight the role of journal editors in promoting accessible models.
Main Methods:
- Review of current computational modeling practices in cognitive science.
- Proposal of three actionable guidelines for model development and sharing.
- Emphasis on the editorial role in enforcing accessibility standards.
Main Results:
- Current computational models are often inaccessible due to diverse programming languages and lack of shared code.
- Proposed guidelines aim to standardize practices, making models easier to access, verify, and build upon.
- Journal editors can significantly influence the adoption of these accessibility standards.
Conclusions:
- Modernizing computational modeling practices is crucial for cognitive science.
- Implementing simple guidelines can dramatically improve model accessibility and collaboration.
- Active participation from journal editors is essential for widespread adoption and the advancement of the field.
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