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{
    "pk": 27950,
    "title": "Grounding Compositional Hypothesis Generation in Specific Instances",
    "subtitle": null,
    "abstract": "number of recent computational models treat concept learn-ing as a form of probabilistic rule induction in a space oflanguage-like, compositional concepts. Inference in such mod-els frequently requires repeatedly sampling from a (infinite)distribution over possible concept rules and comparing theirrelative likelihood in light of current data or evidence. How-ever, we argue that most existing algorithms for top-down sam-pling are inefficient and cognitively implausible accounts ofhuman hypothesis generation. As a result, we propose analternative, Instance Driven Generator (IDG), that constructsbottom-up hypotheses directly out of encountered positive in-stances of a concept. Using a novel rule induction task basedon the children’s game Zendo, we compare these “bottom-up” and “top-down” approaches to inference. We find thatthe bottom-up IDG model accounts better for human infer-ences and results in a computationally more tractable inferencemechanism for concept learning models based on a probabilis-tic language of thought.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "discovery; program induction; probabilistic language of thought"
        },
        {
            "word": "active learning; hypothesis generation"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4zc3z5hs",
    "frozenauthors": [
        {
            "first_name": "Neil",
            "middle_name": "R",
            "last_name": "Bramley",
            "name_suffix": "",
            "institution": "NYU",
            "department": ""
        },
        {
            "first_name": "Anslem",
            "middle_name": "",
            "last_name": "Rothe",
            "name_suffix": "",
            "institution": "NYU",
            "department": ""
        },
        {
            "first_name": "Joshua",
            "middle_name": "B",
            "last_name": "Tenenbaum",
            "name_suffix": "",
            "institution": "MIT",
            "department": ""
        },
        {
            "first_name": "Fei",
            "middle_name": "",
            "last_name": "Xu",
            "name_suffix": "",
            "institution": "UC Berkley",
            "department": ""
        },
        {
            "first_name": "Todd",
            "middle_name": "M",
            "last_name": "Gureckis",
            "name_suffix": "",
            "institution": "NYU",
            "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/27950/galley/17588/download/"
        }
    ]
}