Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 29217,
    "title": "Drawing conclusions from spatial coincidences: a cumulative clustering account",
    "subtitle": null,
    "abstract": "Spatial coincidences allow us to infer the presence of latent causes in the world. For instance, an unusually large clusterof ants allows us to infer the presence of a food source. The leading cognitive model for such inferences is Bayesian,but the Bayesian algorithm is computationally taxing. Humans likely employ a more efficient, approximative algorithm.To characterize the cognitive algorithms used, we had subjects judge whether a set of dots was drawn from a uniformdistribution or from a mixture of a uniform and a gaussian source (tending to produce clusters). Responses systematicallydeviate from Bayesian optimality: as the number of dots increase, subjects more often report a latent cause where noneexists. The bias is accounted for by a Bayesian clustering algorithm that cumulatively considers the next-nearest dot to aputative source. This finding helps characterize our tendency to perceive causal patterns where none exist.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6fx2922n",
    "frozenauthors": [
        {
            "first_name": "Jennifer",
            "middle_name": "",
            "last_name": "Lee",
            "name_suffix": "",
            "institution": "New York University",
            "department": ""
        },
        {
            "first_name": "Wei",
            "middle_name": "Ji",
            "last_name": "Ma",
            "name_suffix": "",
            "institution": "New York University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T21:00:00+03:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29217/galley/19088/download/"
        }
    ]
}