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{
    "pk": 29881,
    "title": "Generating new concepts with hybrid neuro-symbolic models",
    "subtitle": null,
    "abstract": "Human conceptual knowledge supports the ability to generatenovel yet highly structured concepts, and the form of this con-ceptual knowledge is of great interest to cognitive scientists.One tradition has emphasized structured knowledge, view-ing concepts as embedded in intuitive theories or organizedin complex symbolic knowledge structures. A second tradi-tion has emphasized statistical knowledge, viewing conceptualknowledge as an emerging from the rich correlational structurecaptured by training neural networks and other statistical mod-els. In this paper, we explore a synthesis of these two traditionsthrough a novel neuro-symbolic model for generating new con-cepts. Using simple visual concepts as a testbed, we bring to-gether neural networks and symbolic probabilistic programsto learn a generative model of novel handwritten characters.Two alternative models are explored with more generic neuralnetwork architectures. We compare each of these three mod-els for their likelihoods on held-out character classes and forthe quality of their productions, finding that our hybrid modellearns the most convincing representation and generalizes fur-ther from the training observations.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Categories and concepts; neural networks; com-positionality; causality; generative models"
        }
    ],
    "section": "Poster Session 2",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6079r2br",
    "frozenauthors": [
        {
            "first_name": "Reuben",
            "middle_name": "",
            "last_name": "Feinman",
            "name_suffix": "",
            "institution": "New York University",
            "department": ""
        },
        {
            "first_name": "Brenden",
            "middle_name": "M.",
            "last_name": "Lake",
            "name_suffix": "",
            "institution": "New York University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29881/galley/19735/download/"
        }
    ]
}