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{
    "pk": 28651,
    "title": "A computational model of feature formation, event prediction, and attentionswitching",
    "subtitle": null,
    "abstract": "In this paper we present a model of three central aspects ofprobabilistic cognition: event prediction, feature formation,and attention allocation. While most models of probabilisticreasoning take a parameter estimation and error minimisationapproach (sometimes referred to as ‘predictive coding’, and of-ten described in terms of Bayesian updating), our model takesa contrasting frequentist hypothesis-testing approach. Thischoice is motivated by a series of recent results suggesting thatpeople’s probabilistic reasoning follows frequentist probabilitytheory. In simulation tests we demonstrate that this frequentistmodel, in which predictive features are formed by a process ofnull hypothesis significance testing, can give a successful ac-count of event prediction and attentional switching behaviour.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Papers with Poster Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6s16n7qn",
    "frozenauthors": [
        {
            "first_name": "Eman",
            "middle_name": "",
            "last_name": "Awad",
            "name_suffix": "",
            "institution": "University College Dublin",
            "department": ""
        },
        {
            "first_name": "Fintan",
            "middle_name": "",
            "last_name": "Costello",
            "name_suffix": "",
            "institution": "University College Dublin",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28651/galley/18522/download/"
        }
    ]
}