Article Instance

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{
    "pk": 31429,
    "title": "Fuzzy Evidential Logic: A Model of Causality for Commonsense Reasoning",
    "subtitle": null,
    "abstract": "This paper proposes a fuzzy evidential model for commonsense causal reasoning. After an analysis of the advantages and limitations of existing accounts of causality, a generalized rule-based model F E L {Fuzzy Evidential Logic) is proposed that takes into account the inexactness and the cumulative evidentiality of commonsense reasoning. It corresponds naturally to a neural (connectionist) network. Detailed analyses are performed regarding how the model handles commonsense causal reasoning.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Posters",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3kh5h9s9",
    "frozenauthors": [
        {
            "first_name": "Ron",
            "middle_name": "",
            "last_name": "Sun",
            "name_suffix": "",
            "institution": "Honeywell SSDC",
            "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/31429/galley/22498/download/"
        }
    ]
}