Article Instance

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{
    "pk": 31956,
    "title": "Can Symbolic Algorithms Model Cognitive Development?",
    "subtitle": null,
    "abstract": "Symbolic decision-tree learning algorithms can provide a powerful and accurate transition mechanism for modeling cognitive development. They are valid alternatives to connectionist models.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Symposia",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6f23q9gh",
    "frozenauthors": [
        {
            "first_name": "Charles",
            "middle_name": "X.",
            "last_name": "Ling",
            "name_suffix": "",
            "institution": "Department of Computer Science, The University of Hong Kong",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1996-01-01T10:00:00-08:00",
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            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31956/galley/23021/download/"
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    ]
}