Article Instance

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{
    "pk": 30310,
    "title": "What Else Is Wrong With Non-Monotonic Logics? Representational and Informational Shortcomings",
    "subtitle": null,
    "abstract": "Non-montonic logics have been used recently for a variety of A.I. purposes, including belief revision and default reasoning in question-answering and exper systems. This paper argues that by their nature, such systems dicard information which has a role in human belief systems. In particular, systems which use non-monotonic reasoning lose the distinction between fully justified inferences and reasonable presumptions, in the process losing the ability to record failed expectations as such, an ability which provides a useful measure of salience for A.I. systems.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Session #6",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/64s304nw",
    "frozenauthors": [
        {
            "first_name": "Jane",
            "middle_name": "Terry",
            "last_name": "Nutter",
            "name_suffix": "",
            "institution": "State University of New York at Buffalo",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1983-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30310/galley/20164/download/"
        }
    ]
}