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{
    "pk": 33043,
    "title": "Combining Rules and Cases to Learn Case Adaptation",
    "subtitle": null,
    "abstract": "mputer models of case-based reasoning (CBR) generally \nguide case adaptation using a fixed set of adaptation rules. A \ndifficult practical problem is how to identify the knowledge required to guide adaptation for particular tasks. Likewise, an \nopen issue for CB R as a cognitive model is how case adaptation knowledge is learned. W e describe a new approach to acquiring case adaptation knowledge. In this approach, adaptation problems are initially solved by reasoning from scratch, \nusing abstract rules about structural transformations and general memory search heuristics. Traces of the processing used \nfor successftil rule-based adaptation are stored as cases to enable future adaptation to be done by case-based reasoning. \nWhe n similar adaptation problems are encountered in the future, these adaptation cases provide task- and domain-specific \nguidance for the case adaptation process. We present the tenets \nof the approach concerning the relationship between memory \nsearch and case adaptation, the memory search process, and \nthe storage and reuse of cases representing adaptation episodes. \nThese points are discussed in the context of ongoing research \non DIAL, a computer model that learns case adaptation knowledge for case-based disaster response planning",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5tj4x9vw",
    "frozenauthors": [
        {
            "first_name": "David",
            "middle_name": "B.",
            "last_name": "Leake",
            "name_suffix": "",
            "institution": "Indiana University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T13:00:00-05:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33043/galley/24105/download/"
        }
    ]
}