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{
    "pk": 25585,
    "title": "Computational evolution of decision-making strategies",
    "subtitle": null,
    "abstract": "Most research on adaptive decision-making takes a strategyfirst\napproach, proposing a method of solving a problem and\nthen examining whether it can be implemented in the brain\nand in what environments it succeeds. We present a method for\nstudying strategy development based on computational evolution\nthat takes the opposite approach, allowing strategies to\ndevelop in response to the decision-making environment via\nDarwinian evolution. We apply this approach to a dynamic\ndecision-making problem where artificial agents make decisions\nabout the source of incoming information. In doing so,\nwe show that the complexity of the brains and strategies of\nevolved agents are a function of the environment in which they\ndevelop. More difficult environments lead to larger brains and\nmore information use, resulting in strategies resembling a sequential\nsampling approach. Less difficult environments drive\nevolution toward smaller brains and less information use, resulting\nin simpler heuristic-like strategies.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "computational evolution"
        },
        {
            "word": "decision-making"
        },
        {
            "word": "sequential\nsampling"
        },
        {
            "word": "Heuristics"
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4421031m",
    "frozenauthors": [
        {
            "first_name": "Peter",
            "middle_name": "",
            "last_name": "Kvam",
            "name_suffix": "",
            "institution": "Center for Adaptive Rationality, Max Planck Institute for Human Development",
            "department": ""
        },
        {
            "first_name": "Joseph",
            "middle_name": "",
            "last_name": "Cesario",
            "name_suffix": "",
            "institution": "Department of Psychology, Michigan State University",
            "department": ""
        },
        {
            "first_name": "Jory",
            "middle_name": "",
            "last_name": "Schossau",
            "name_suffix": "",
            "institution": "Department of Computer Science and Engineering, Michigan State University",
            "department": ""
        },
        {
            "first_name": "Heather",
            "middle_name": "",
            "last_name": "Eisthen",
            "name_suffix": "",
            "institution": "Department of Integrative Biology, BEACON Center for the Study of Evolution in Action, Michigan State University",
            "department": ""
        },
        {
            "first_name": "Arebd",
            "middle_name": "",
            "last_name": "Hintze",
            "name_suffix": "",
            "institution": "Department of Integrative Biology, BEACON Center for the Study of Evolution in Action, Michigan State University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2015-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25585/galley/15209/download/"
        }
    ]
}