Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 30878,
    "title": "Evaluating and Debugging Analogically Acquired Models",
    "subtitle": null,
    "abstract": "We describe elements of a cognitive theory of analogical reasoning. The theory was developed using protocol data and has been implemented as a computer model. In order to constrain the theory, it has been developed within a problem-solving context, reflecting the purpose of analogical reasoning. This has allowed us to develop: A purpose-constrained mapping process which makes learning and debugging more tractable; An evaluation process that actively searches for bugs; And a debugging process that maintains functional aspects of base models, while adding target-appropriate causal explanations. The active, knowledge-based elements of our theory are characteristic of mechanisms needed to model complex problem-solving.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Presentations -- Group 1: Reasoning",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2577v3g8",
    "frozenauthors": [
        {
            "first_name": "Beth",
            "middle_name": "",
            "last_name": "Adelson",
            "name_suffix": "",
            "institution": "Tufts University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1990-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30878/galley/20727/download/"
        }
    ]
}