Article Instance

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{
    "pk": 31872,
    "title": "Abstraction of Sensory-Motor Features",
    "subtitle": null,
    "abstract": "This paper presents a way that enables robots to learn abstract concepts from sensory/perceptual data. In order to overcome the gap between the low-level sensory data cind higher-level concept description, a method called feature abstraction is used. Feature abstraction dynamically defines abstract sensors from primitive sensory devices and makes it possible to learn appropriate sensory-motor constraints. This method has been implemented on a reed mobile robot as a learning system called ACORN-II. ACORN-II was evaluated with some empirical results eind shown that the system can learn some abstract concepts more accurately than other existing systems.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Refereed Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7ch1z974",
    "frozenauthors": [
        {
            "first_name": "Kazuo",
            "middle_name": "",
            "last_name": "Hiraki",
            "name_suffix": "",
            "institution": "ElectrotechinaJ Laboratory 1-1-4 Umezono, Tsukuba, Ibaraki, 305 Japan",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1994-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31872/galley/22939/download/"
        }
    ]
}