Article Instance

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{
    "pk": 31909,
    "title": "Modeling Inter-Category Topicality within a Symbolic Search Framework",
    "subtitle": null,
    "abstract": "This paper addresses category typicality in the context of a category naming task. In contrast to the predominant effort with gradient models, a symbolic search framework is taken. Within this framework, the SC A (Symbolic Concept Acquisition) model demonstrates varying response times as a function of an instance's intra-category typicality. Here its coverage is expanded to inter-category typicality. A functionally motivated extension for SC A is advanced that pursues search backtracking under ambiguous cases. I explain how the backtracking extension accounts for inter-category typicality effects, and support it with some empirical evidence. I discuss how the effect generalizes to a larger class of symbolic search models.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Refereed Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0ff63321",
    "frozenauthors": [
        {
            "first_name": "Craig",
            "middle_name": "S.",
            "last_name": "Miller",
            "name_suffix": "",
            "institution": "Carnegie Mellon University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1994-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31909/galley/22974/download/"
        }
    ]
}