Article Instance

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{
    "pk": 25757,
    "title": "Elemental Causal Learning from Transitions",
    "subtitle": null,
    "abstract": "Much research on elemental causal learning has focused on\nhow causal strength is learned from the states of variables. In\nlongitudinal contexts, the way a cause and effect change over\ntime can be informative of the underlying causal relationship.\nWe propose a framework for inferring the causal strength\nfrom different observed transitions, and compare the\npredictions to existing models of causal induction. Subjects\nobserve a cause and effect over time, updating their\njudgments of causal strength after observing different\ntransitions. The results show that some transitions have an\neffect on causal strength judgments over and above states.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "causal learning; causal reasoning; time"
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1wx2047x",
    "frozenauthors": [
        {
            "first_name": "Kevin",
            "middle_name": "W",
            "last_name": "Soo",
            "name_suffix": "",
            "institution": "University of Pittsburgh",
            "department": ""
        },
        {
            "first_name": "Benjamin",
            "middle_name": "M",
            "last_name": "Rottman",
            "name_suffix": "",
            "institution": "University of Pittsburgh",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2015-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25757/galley/15381/download/"
        }
    ]
}