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{
    "pk": 33302,
    "title": "Prolegomena to a Task-Method-Knowledge Theory of Cognition",
    "subtitle": null,
    "abstract": "How can we integrate interrelated theories of individual elements of cognition? Computational models of reasoning processes encode an understanding of reasoning. Consequently, a computational modeling language may be ideally suited to the presentation of theories of cognition. By representing theories of a variety of phenomena in a single modeling language, we can potentially explore how these theories might interact. The Task-Method-Knowledge (TMK) modeling language evolves from artificial intelligence research on the subject of multistrategy reasoning. TMK models provide a compositional account of reasoning processes; they describe not only what the elements of a process are, but also how the functional properties of these elements combine to form the functional properties of the process as a whole. This paper explores the composition of theories of cognition within the TMK framework, drawing on some existing theories within cognitive science as examples.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Long Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/164826x6",
    "frozenauthors": [
        {
            "first_name": "J.",
            "middle_name": "William",
            "last_name": "Murdock",
            "name_suffix": "",
            "institution": "College of Computing, Georgia institute of Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1998-01-01T19:00:00+01:00",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33302/galley/24362/download/"
        }
    ]
}