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{
    "pk": 27135,
    "title": "Amortized Hypothesis Generation",
    "subtitle": null,
    "abstract": "Bayesian models of cognition posit that people compute prob-ability distributions over hypotheses, possibly by construct-ing a sample-based approximation. Since people encountermany closely related distributions, a computationally efficientstrategy is to selectively reuse computations – either the sam-ples themselves or some summary statistic. We refer to thesereuse strategies as amortized inference. In two experiments,we present evidence consistent with amortization. When se-quentially answering two related queries about natural scenes,we show that answers to the second query vary systematicallydepending on the structure of the first query. Using a cog-nitive load manipulation, we find evidence that people cachesummary statistics rather than raw sample sets. These resultsenrich our notions of how the brain approximates probabilisticinference.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Amortization; hypothesis generation; Bayesian in-ference; Monte Carlo methods"
        }
    ],
    "section": "Posters: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6cc8954w",
    "frozenauthors": [
        {
            "first_name": "Ishita",
            "middle_name": "",
            "last_name": "Dasgupta",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        },
        {
            "first_name": "Eric",
            "middle_name": "",
            "last_name": "Schulz",
            "name_suffix": "",
            "institution": "University College London",
            "department": ""
        },
        {
            "first_name": "Noah",
            "middle_name": "D.",
            "last_name": "Goodman",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        },
        {
            "first_name": "Samuel",
            "middle_name": "J.",
            "last_name": "Gershman",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27135/galley/16771/download/"
        }
    ]
}