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{
    "pk": 31360,
    "title": "A Case-Based Approach to Problem Formulation",
    "subtitle": null,
    "abstract": "In domains requiring complex relational representations, simply expressing a new problem may be a complex, error-prone, and time-consuming task. This paper presents an approach to problem formulation, termed case-based formulation (CBF), that uses previous cases as a model and a guide for expressing new cases. By expressing new problems in terms of old, C B F can potentially increase the speed and accuracy of problem formulation, reduce the computational expense of retrieval, and determine the relevant similarities and differences between a new case and and the most similar old cases as a side-effect of expressing the new case. Three forms of C B F can be distinguished by the extent to which the retrieval and adaptation of previous cases are automated and the extent to which the facts of multiple cases Can be combined. A n initial implementation of one form of C B F is described and its ability to use previous cases to increase the efficiency and accuracy of new-case formalization is illustrated with a complex relational case.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Posters",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5bx3j2vg",
    "frozenauthors": [
        {
            "first_name": "L.",
            "middle_name": "Karl",
            "last_name": "Branting",
            "name_suffix": "",
            "institution": "University of Wyoming",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1992-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31360/galley/22429/download/"
        }
    ]
}