Article Instance

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{
    "pk": 26657,
    "title": "Data Shows Human Behavior is Not Random, period.",
    "subtitle": null,
    "abstract": "Simulations of many people’s decisions are used in public health and safety as well as to support policymaking.These simulations rely on creditable models of individual decision-making. An obvious approach is to develop a list of plausibleactions and to then evaluate the benefits of each in the current situation to make the decision. However, such evaluations canbe implausible, e.g., zero-intelligence traders in economics, or impracticable because the approach is computationally intensivefor large-scale simulations. As a result, a commonly used approach is to select randomly from the plausible actions. Withoutdata on how people would actually chose, a random number from a uniform distribution over the plausible options is often usedto represent the unknown cognition. However, we claim that substituting a uniform random distribution for how people makedecisions is making very strong claims about the process and we will present data demonstrating it is simply wrong.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5kb7x33x",
    "frozenauthors": [
        {
            "first_name": "William",
            "middle_name": "G.",
            "last_name": "Kennedy",
            "name_suffix": "",
            "institution": "George Mason University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2016-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26657/galley/16293/download/"
        }
    ]
}