Article Instance

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{
    "pk": 31739,
    "title": "APECS: A Solution to the Sequential Learning Problem",
    "subtitle": null,
    "abstract": "This paper contains some modifications to Back\nPropagation that aim to remove one of its failings\nwithout sacrificing power. Adaptively Parametrised\nError Correcting Systems ( APECS ) are shown not\nto suffer from the sequential learning problem, and\nto be capable of solving EOR , higher order parity,\nand negation problems. This opens the w a y to\ndevelopment of connectionist models of associative\nlearning and memory that do not suffer from\n\"catastrophic interference\", and may shed light on\nissues such as the episodic / semantic memory\ndistinction.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5r23d9tp",
    "frozenauthors": [
        {
            "first_name": "I.P.L.",
            "middle_name": "",
            "last_name": "MCLaren",
            "name_suffix": "",
            "institution": "University of Warwick",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1993-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31739/galley/22807/download/"
        }
    ]
}