Article Instance

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{
    "pk": 30911,
    "title": "Brainstormer: A Model of Advice-Taking",
    "subtitle": null,
    "abstract": "Research on advice-taking in artificial intelligence is motivated by the promise of knowledge-based systems that can accept high-level, human-like instruction [11]. Examining the activity of human advice-taking is a way of determining the key computational problems that a fully automated advice taker must solve. In this paper, we identify three features of human advice-taking that pose computational problems, and address them in the context of brainstormer, a planning system that takes advice in the domain of terrorist crisis management.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Presentations -- Group 1: Reasoning",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/93r79880",
    "frozenauthors": [
        {
            "first_name": "Eric",
            "middle_name": "K.",
            "last_name": "Jones",
            "name_suffix": "",
            "institution": "Northwestern University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1990-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30911/galley/20760/download/"
        }
    ]
}