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{
    "pk": 33076,
    "title": "Integration of Anomalous Data in Multicausal Explanations",
    "subtitle": null,
    "abstract": "This paper describes and evaluates a computational model of \nanomalous data integration. This model makes use of three \nfactors: entrenchment of the current theory (the amount of data \nexplained), the relative probability of the contradictory explanations (based on conditional probabilities as part of the \ndomain-knowledge), and the availability of alternative explanations based on learning. In an experimental study we found \nthat the enu-enchment of a theory and the availability and likelihood of an alternative explanation influenced solution speed \nand the correctness of inferred causal explanations. However, \nin detail, the single levels of both factors were not cleariy distinguishable and did not follow the predictions. These findings \nsuggest that entrenchment itself is not a major factor in determining the difficulty of a task. Instead, we hypothesize that \ntask difficulty is dominated by a person's ability to construct \nan alternative explanation of a given situation, a factor that is \nonly indirectly related to entrenchment.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5q32q8bn",
    "frozenauthors": [
        {
            "first_name": "Josef",
            "middle_name": "",
            "last_name": "Krems",
            "name_suffix": "",
            "institution": "University of Regensburg",
            "department": ""
        },
        {
            "first_name": "Todd",
            "middle_name": "R.",
            "last_name": "Johnson",
            "name_suffix": "",
            "institution": "The Ohio State University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33076/galley/24137/download/"
        }
    ]
}