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{
    "pk": 30904,
    "title": "The Dempster-Shafer Theory of Evidence as a Model of Human Decision Making",
    "subtitle": null,
    "abstract": "Many psychology researchers have shown that humans do not process probabilistic information in a manner consistent with Bayes' theory [9, 10, 16, 24, 23, 27]. Robinson and Hastie [24, 23] showed that humans made non-compensatory probability updates, produced super-additive distributions, and resuscitated zero probability possibilities. While most researchers have classified these behaviors as nonnormative, we found that the Dempster-Shafer theory could model each of these behaviors in a normative and theoretically sound fashion. While not claiming that the theory modeb human processes, we claim that the similarities should aid user acceptance of Dempster-Shafer based decision systems.",
    "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/6m73b1hr",
    "frozenauthors": [
        {
            "first_name": "Donald",
            "middle_name": "H.",
            "last_name": "Mitchell",
            "name_suffix": "",
            "institution": "Tulsa Research Center",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1990-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30904/galley/20753/download/"
        }
    ]
}