Article Instance

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{
    "pk": 31238,
    "title": "Why Intelligent Systems Should Get Depressed Occasionally and Appropriately",
    "subtitle": null,
    "abstract": "Some researchers suggest that depression may be adaptive. For example, depression may provide an opportunity to assess our capabilities, learn from past failures, u-igger personal change, and allocate activity away from futile goals. There are a variety of signature phenomena associated with depression, such as stable, global, and internal styles of failure explanation, a cognitive loop of failure-related rumination, lowered self-esteem and self-efficacy, and increased negative generalization and depressive realism. DEPlanner is presented, a simulated agent that adapts to failure in a simulated environment and exhibits eight targeted signature phenomena of depression.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1kb802d4",
    "frozenauthors": [
        {
            "first_name": "Charles",
            "middle_name": "",
            "last_name": "Webster",
            "name_suffix": "",
            "institution": "University of Pittsburgh",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1992-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31238/galley/22307/download/"
        }
    ]
}