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{
    "pk": 33134,
    "title": "Learning Sets of Related Concepts : A Shared Task Model",
    "subtitle": null,
    "abstract": "We investigate learning a set of causally related concepts from examples. W e show that human subjects make fewer errors and learn more rapidly when the set of concepts is logically consistent. W e compare the results of these subjects to subjects learning equivalent concepts that share sets of relevant features, but are not logically consistent. W e present a shared-task neural network model simulation of the psychological experimentation.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4th4q43w",
    "frozenauthors": [
        {
            "first_name": "Tim",
            "middle_name": "",
            "last_name": "Hume",
            "name_suffix": "",
            "institution": "University of California, Irvine",
            "department": ""
        },
        {
            "first_name": "Michael",
            "middle_name": "J.",
            "last_name": "Pazzani",
            "name_suffix": "",
            "institution": "University of California, Irvine",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33134/galley/24195/download/"
        }
    ]
}