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{
    "pk": 27842,
    "title": "Redefining heuristics in multi-attribute decisions: A probabilistic framework",
    "subtitle": null,
    "abstract": "In this paper, we highlight the shortfall of conventionally de-scribed heuristics in multi-attribute decision theory, and pro-pose recasting these heuristics within a novel probabilisticframework. This framework is based on defining a psycho-logical feature space, with rule-based heuristics represented asprototypical representations within this space. We provide var-ious examples of meaningful heuristics that can be constructedunder this representation, including recasting probabilistic ver-sions of popular heuristics such as take-the-best. Next, wepropose an evaluation framework to measure the effectivenessof a consideration set of heuristics. This framework measureswhether the set of heuristics are sufficient to describe, predictand infer strategy selection and learning behavior. We proposethat this is a step towards a robust framework within whichmodels of strategy selection and learning should be evaluated.The framework aspires to develop a consideration set of heuris-tics that can be represented as a mathematically well-posed in-ference problem. We show that the heuristics redefined underour probabilistic framework generally perform better than con-ventional heuristics under this evaluation. We conclude with adiscussion on the possible applications of this framework.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/17j9p70x",
    "frozenauthors": [
        {
            "first_name": "Percy",
            "middle_name": "K",
            "last_name": "Mistry",
            "name_suffix": "",
            "institution": "UC Irvine",
            "department": ""
        },
        {
            "first_name": "Jennifer",
            "middle_name": "S",
            "last_name": "Trueblood",
            "name_suffix": "",
            "institution": "Vanderbilt",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27842/galley/17481/download/"
        }
    ]
}