Article Instance

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{
    "pk": 32724,
    "title": "A Causal-Model Theory of Categorization",
    "subtitle": null,
    "abstract": "In this article I propose that categorization decisions are often made relative to causal models of categories that people possess. According to this causal-model theory of categorization, evidence of an exemplar's membership in a category consists of the likelihood that such an exemplar can be generated by the category's causal model. Bayesian networks are proposed as a representation of these causal models. Causal-model theory was fit to categorization data from a recent study, and yielded better fits than either the prototype model or the exemplar-based context model, by accounting, for example, for the confirmation and violation of causal relationships and the asymmetries inherent in such relationships.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Long Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5gr9c6ft",
    "frozenauthors": [
        {
            "first_name": "Bob",
            "middle_name": "",
            "last_name": "Rehder",
            "name_suffix": "",
            "institution": "Department of Psychology, University of Illinois",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1999-01-01T13:00:00-05:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32724/galley/23787/download/"
        }
    ]
}