Article Instance

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{
    "pk": 26859,
    "title": "A Cognitive Model of Strategic Deliberation and Decision Making",
    "subtitle": null,
    "abstract": "We study game theoretic decision making using a\nbidirectional evidence accumulation model. Our model\nrepresents both preferences for the strategies available to the\ndecision maker, as well as beliefs regarding the opponent’s\nchoices. Through sequential sampling and accumulation, the\nmodel is able to intelligently reason through two-player\nstrategic games, while also generating specific violations of\nNash equilibrium typically observed in these games. The\nmain ingredients of accumulator models, stochastic sampling\nand dynamic accumulation, play a critical role in explaining\nthese behavioral patterns as well as generating novel\npredictions.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Decision making; Game theory; Sequential\nsampling; Preference accumulation"
        }
    ],
    "section": "Talks: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9rq1h35s",
    "frozenauthors": [
        {
            "first_name": "Russell",
            "middle_name": "",
            "last_name": "Golman",
            "name_suffix": "",
            "institution": "Carnegie Mellon University",
            "department": ""
        },
        {
            "first_name": "Sudeep",
            "middle_name": "",
            "last_name": "Bhatia",
            "name_suffix": "",
            "institution": "University of Pennsylvania",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26859/galley/16495/download/"
        }
    ]
}