Article Instance

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{
    "pk": 30452,
    "title": "Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning",
    "subtitle": null,
    "abstract": "The paper reports recent results from the theory of Bayesian networks, which offer a viable formalizsm for realizing the computational objectives of connectionist models of knowledge. In particular, we show that the Bayseian network formalism is supportive of self-activated, multidirectional proagation of evidence that converges rapidly to a globally-consistent equilibrium.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Poster Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0vr7830n",
    "frozenauthors": [
        {
            "first_name": "Judea",
            "middle_name": "",
            "last_name": "Peal",
            "name_suffix": "",
            "institution": "University of California, Los Angeles",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1985-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30452/galley/20301/download/"
        }
    ]
}