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{
    "pk": 32896,
    "title": "An Operator-Based Attentional Model of Rapid Visual Counting",
    "subtitle": null,
    "abstract": "In this paper we report on the use of our operatorbased model of human covert visual attention [Wiesmeyer and Laird, 1990] to account for reaction times in counting tasks in which a stimulus is presented and left undisturbed until a response is made. Previous explanations have not employed &n attentionally-driven model. Our model, which is based on the Model Human Processor [Card et a/., 1983], is an early selection model in which an attentional \"zoom lens\" [Eriksen and Yeh, 1985] operates under the control of cognition in order to both locate features in visual space and improve the quality of featural information delivered to short-term memory by perception. W e have implemented our model and the control structures to simulate rapid counting tasks in the Soar cognitive architecture [Laird et al., 1987], which has been suggested as the basis for a unified theory of cognition [Newell, 1990]. Reaction times in the counting task are explained using operator traces that correspond to sequences of deliberate acts having durations in the 50 msec range.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Presentations -- Attention and Learning",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8767p4bg",
    "frozenauthors": [
        {
            "first_name": "Mark",
            "middle_name": "",
            "last_name": "Wiesmeyer",
            "name_suffix": "",
            "institution": "The University of Michigan",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1991-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32896/galley/23956/download/"
        }
    ]
}