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{
    "pk": 29503,
    "title": "Relation learning in a neurocomputational architecture supports cross-domaintransfer",
    "subtitle": null,
    "abstract": "Humans readily generalize, applying prior knowledge to novelsituations and stimuli. Advances in machine learning have be-gun to approximate and even surpass human performance, butthese systems struggle to generalize what they have learnedto untrained situations. We present a model based on well-established neurocomputational principles that demonstrateshuman-level generalisation. This model is trained to play onevideo game (Breakout) and performs one-shot generalisationto a new game (Pong) with different characteristics. The modelgeneralizes because it learns structured representations that arefunctionally symbolic (viz., a role-filler binding calculus) fromunstructured training data. It does so without feedback, andwithout requiring that structured representations are specifieda priori. Specifically, the model uses neural co-activation todiscover which characteristics of the input are invariant and tolearn relational predicates, and oscillatory regularities in net-work firing to bind predicates to arguments. To our knowledge,this is the first demonstration of human-like generalisation ina machine system that does not assume structured representa-tions to begin with.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "predicate learning; generalisation; neural net-works; symbolic-connectionism; neural oscillations"
        }
    ],
    "section": "Forms of Learning",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/35v29557",
    "frozenauthors": [
        {
            "first_name": "Leonidas",
            "middle_name": "A. A.",
            "last_name": "Doumas",
            "name_suffix": "",
            "institution": "University of Edinburgh",
            "department": ""
        },
        {
            "first_name": "Guillermo",
            "middle_name": "",
            "last_name": "Puebla",
            "name_suffix": "",
            "institution": "University of Edinburgh",
            "department": ""
        },
        {
            "first_name": "Andrea",
            "middle_name": "E.",
            "last_name": "Martin",
            "name_suffix": "",
            "institution": "Max Planck Institute for Psycholinguistics",
            "department": ""
        },
        {
            "first_name": "John",
            "middle_name": "E.",
            "last_name": "Hummel",
            "name_suffix": "",
            "institution": "University of Illinois",
            "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/29503/galley/19363/download/"
        }
    ]
}