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{
    "pk": 29962,
    "title": "Analogy as Nonparametric Bayesian Inference over Relational Systems",
    "subtitle": null,
    "abstract": "Much of human learning and inference can be framed withinthe computational problem of relational generalization. Inthis project, we propose a Bayesian model that generalizesrelational knowledge to novel environments by analogicallyweighting predictions from previously encountered relationalstructures. First, we show that this learner outperforms anaive, theory-based learner on relational data derived fromrandom- and Wikipedia-based systems when experience withthe environment is small. Next, we show how our formal-ization of analogical similarity translates to the selection andweighting of analogies. Finally, we combine the analogy-and theory-based learners in a single nonparametric Bayesianmodel, and show that optimal relational generalizationtransitions from relying on analogies to building a theory ofthe novel system with increasing experience in it. Beyondpredicting unobserved interactions better than either baseline,this formalization gives a computational-level perspective onthe formation and abstraction of analogies themselves.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "generalization; inference; analogy; Bayesianmodels"
        },
        {
            "word": "nonparametric statistics"
        }
    ],
    "section": "Poster Session 3",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/86j8j93w",
    "frozenauthors": [
        {
            "first_name": "Ruairidh",
            "middle_name": "M.",
            "last_name": "Battleday",
            "name_suffix": "",
            "institution": "Princeton University",
            "department": ""
        },
        {
            "first_name": "Thomas",
            "middle_name": "L.",
            "last_name": "Griffiths",
            "name_suffix": "",
            "institution": "Princeton 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/29962/galley/19816/download/"
        }
    ]
}