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{
    "pk": 26249,
    "title": "Geometric representations of evidence in models of decision-making",
    "subtitle": null,
    "abstract": "Traditionally, models of the decision-making process have fo-cused on the case where a decision-maker must choose be-tween two alternatives. The most successful of these, sequen-tial sampling models, have been extended from the binary caseto account for choices and response times between multiplealternatives. In this paper, I present a geometric representa-tion of diffusion and accumulator models of multiple-choicedecisions, and show how these can be analyzed as Markovprocesses on lattices. I then introduce psychological relation-ships between choice alternatives and show how this impactsthe sequential sampling process. I conclude with two examplesshowing how one can predict distributions of responses on acontinuum as well as response times by incorporating psycho-logical representations into a multi-dimensional random walkdiffusion process.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "random walk; decision making; evidence accumu-lation; multi-alternative; continuous response"
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/01z86463",
    "frozenauthors": [
        {
            "first_name": "Peter",
            "middle_name": "D.",
            "last_name": "Kvam",
            "name_suffix": "",
            "institution": "Michigan State University",
            "department": ""
        },
        {
            "first_name": "Luis",
            "middle_name": "H.",
            "last_name": "Favela",
            "name_suffix": "",
            "institution": "University of Central Florida",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2016-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26249/galley/15885/download/"
        }
    ]
}