Works by Pickering, Martin (exact spelling)

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  1. Why cognitive science is not formalized folk psychology.Martin Pickering & Nick Chater - 1995 - Minds and Machines 5 (3):309-337.
    It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also illustrate the separation between (...)
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    Novel Labels Increase Category Coherence, But Only When People Have the Goal to Coordinate.Ellise Suffill, Holly Branigan & Martin Pickering - 2019 - Cognitive Science 43 (11):e12796.
    From infancy, we recognize that labels denote category membership and help us to identify the critical features that objects within a category share. Labels not only reflect how we categorize, but also allow us to communicate and share categories with others. Given the special status of labels as markers of category membership, do novel labels (i.e., non‐words) affect the way in which adults select dimensions for categorization in unsupervised settings? Additionally, is the purpose of this effect primarily coordinative (i.e., do (...)
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    Two projects for understanding the mind: A response to Morris and Richardson. [REVIEW]Nick Chater & Martin Pickering - 1997 - Minds and Machines 7 (4):553-569.
    We respond to Morris and Richardson 's claim that Pickering and Chater's arguments about the lack of a relation between cognitive science and folk psychology are flawed. We note that possible controversies about the appropriate uses for the two terms do not affect our arguments. We then address their claim that computational explanation of knowledge-rich processes has proved possible in the domains of problem solving, scientific discovery, and reasoning. We argue that, in all cases, computational explanation is only possible for (...)
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