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{
    "pk": 27807,
    "title": "Action Function Learning",
    "subtitle": null,
    "abstract": "How do people actively explore to learn about functional relationships, that is, how continuous inputs map onto continuous outputs? We introduce a novel paradigm to investigate information search in continuous, multi-feature function learning scenarios. Participants either actively selected or passively observed information to learn about an underlying linear function. We develop and compare different variants of rule-based (linear regression) and non-parametric (Gaussian process regression) active learning approaches to model participants' active learning behavior. Our results show that participants' performance is best described by a rule-based model that attempts to efficiently learn linear functions with a focus on high and uncertain outcomes. These results advance our understanding of how people actively search for information to learn about functional relations in the environment.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "active learning"
        },
        {
            "word": "Function learning"
        },
        {
            "word": "Rule Learning"
        },
        {
            "word": "Self-directed sampling"
        },
        {
            "word": "information search"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1p76k5tm",
    "frozenauthors": [
        {
            "first_name": "Angela",
            "middle_name": "",
            "last_name": "Jones",
            "name_suffix": "",
            "institution": "Max Plank Institute for Human Development",
            "department": ""
        },
        {
            "first_name": "Eric",
            "middle_name": "",
            "last_name": "Schulz",
            "name_suffix": "",
            "institution": "Harvard",
            "department": ""
        },
        {
            "first_name": "Bjorn",
            "middle_name": "",
            "last_name": "Medder",
            "name_suffix": "",
            "institution": "Max Plank Institute for Human Development",
            "department": ""
        },
        {
            "first_name": "Azzurra",
            "middle_name": "",
            "last_name": "Rugerri",
            "name_suffix": "",
            "institution": "Max Plank Institute for Human Development, Technical University of Munich",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27807/galley/17447/download/"
        }
    ]
}