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{
    "pk": 25701,
    "title": "Learning Additive and Substitutive Features",
    "subtitle": null,
    "abstract": "To adapt in an ever-changing world, people infer what basic\nunits should be used to form concepts and guide generalizations.\nWhile recent computational models of human representation\nlearning have successfully predicted how people discover\nfeatures from high-dimensional input in a number of domains\n(Austerweil & Griffiths, 2013), the learned features are\nassumed to be additive. However, this assumption is not always\ntrue in the real world. Sometimes a basic unit is substitutive\n(Garner, 1978), which means it can only be one value out\nof a set of discrete values. For example, a cat is either furry\nor hairless, but not both. In this paper, we explore how people\nform representations for substitutive features, and what computational\nprinciples guide such behavior. In a behavioral experiment,\nwe show that not only are people capable of forming\nsubstitutive feature representations, but they also infer whether\na feature should be additive or substitutive depending on the\nobserved input. This learning behavior is predicted by our\nnovel extension to the Austerweil and Griffiths (2011, 2013)’s\nfeature construction framework, but not their original model.\nOur work contributes to the continuing effort to understand\nhow people form representations of the world.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "learning; additive features; substitutive features;\nBayesian nonparametric modeling; feature learning"
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/44n5b28f",
    "frozenauthors": [
        {
            "first_name": "Ting",
            "middle_name": "",
            "last_name": "Qian",
            "name_suffix": "",
            "institution": "Brown University",
            "department": ""
        },
        {
            "first_name": "Joseph",
            "middle_name": "",
            "last_name": "Austerweil",
            "name_suffix": "",
            "institution": "Brown University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2015-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25701/galley/15325/download/"
        }
    ]
}