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{
    "pk": 32891,
    "title": "Explanation-Based Retrieval in a Case-Based Learning Model",
    "subtitle": null,
    "abstract": "Retrieving previous similar cases from a memory of cases is central to case-based reasoning systems. In most systems, this retrieval is done by a detailed indexing mechanism. Thagard and Holyoak argue that indexing is the wrong way to retrieve analogues. They propose a retrieval model (ARCS) based on a competing constraint satisfaction approach. In this paper, an explanation-based retrieval method (EBR) for retrieving analogues from a case-base with cases stored with respect to an interpretation of these cases as analyzed by a cognitive diagnostic component is described. The system is designed to the domain of problem solving in LISP. In a simulation study, it can be shown that the EBR-method performs equally well or even better than the ARCS-method.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Presentations -- Reminding and Case Retrieval",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1tb3q6xc",
    "frozenauthors": [
        {
            "first_name": "Gerhard",
            "middle_name": "",
            "last_name": "Weber",
            "name_suffix": "",
            "institution": "University of Trier",
            "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/32891/galley/23951/download/"
        }
    ]
}