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{
    "pk": 32934,
    "title": "A Framework for Opportunistic Abductive Strategies",
    "subtitle": null,
    "abstract": "Any single algorithm for abduction requires specific kinds of knowledge and ignores other kinds of knowledge. A knowledge- based system that uses a single abductive method, is restricted to using the knowledge required by that method. This makes the system britde, because the single Fixed method can only respond appropriately in a limited range of situations and can only make use of a subset of the potentially relevant knowledge. In this paper, we describe a framework from which abductive strategies can be opportunistically constructed to reflect the problem being solved and the knowledge available to solve the problem. W e also describe ABDSoar, a Soar-based implementation",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Poster Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3bz8c4v5",
    "frozenauthors": [
        {
            "first_name": "Todd",
            "middle_name": "R.",
            "last_name": "Johnson",
            "name_suffix": "",
            "institution": "The Ohio State University",
            "department": ""
        },
        {
            "first_name": "Jack",
            "middle_name": "W.",
            "last_name": "Smith",
            "name_suffix": "",
            "institution": "The Ohio State University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1991-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32934/galley/23994/download/"
        }
    ]
}