Article Instance

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{
    "pk": 31711,
    "title": "Recognition-based Problem Solving",
    "subtitle": null,
    "abstract": "This paper describes a space of possible models of\nknowledge-lean human problem solving characterised\nby the use of recognition knowledge to control\nsearch. Recognition-based Problem Solvers (RPS)\nare contrasted to Soar and ACT - R which tend to use\nlarge goal stacks to control search and to situated\ntheories of cognition that tend not to be able to do\nsearch at all (e.g. Pengi). It is shown that with\nappropriate knowledge increments R P S can apply\nalgorithms such as depth-first search with a bounded\ndemand on Working Memory . The discussion then\nfocuses on h o w some weak methods, such as depth-\nfirst search, are more difficult to encode in R P S than\nothers. It is claimed that the difficulty of encoding\ndepth-first reflects human performance.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1tv0n8n9",
    "frozenauthors": [
        {
            "first_name": "Andrew",
            "middle_name": "",
            "last_name": "Howes",
            "name_suffix": "",
            "institution": "MRC Applied Psychology Unit",
            "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/31711/galley/22779/download/"
        }
    ]
}