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{
    "pk": 49678,
    "title": "State Sensitivity in an Additive Discovery Game",
    "subtitle": null,
    "abstract": "Successful innovation hinges on balancing exploring new ideas and exploiting existing ones. A rational innovator should be state-sensitive, effectively switching to exploitation when the best available idea reaches some standard. We tackle innovation with a discovery-by-recombination game under additive reward growth, and compare the optimal state-dependent policy with a state-independent policy. Our experiment reveals that participants made state-dependent decisions, exploring more in rounds with early successes, albeit being told of the same true success probability. In contrast, the optimal state-dependent policy switches to exploitation earlier. This suggests that participants' state-sensitivity may be driven by ad-hoc subjective probabilities. Participants also deviated from optimality through excessive exploration, switching multiple times between exploration and exploitation, and their switching points also differed from the theoretical optimum.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Psychology; Decision making; Computational Modeling; Mathematical modeling"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/31c2r0js",
    "frozenauthors": [
        {
            "first_name": "Yifan",
            "middle_name": "",
            "last_name": "Hong",
            "name_suffix": "",
            "institution": "Tsinghua University",
            "department": ""
        },
        {
            "first_name": "Chen",
            "middle_name": "",
            "last_name": "Wang",
            "name_suffix": "",
            "institution": "Tsinghua University",
            "department": ""
        },
        {
            "first_name": "Bonan",
            "middle_name": "",
            "last_name": "Zhao",
            "name_suffix": "",
            "institution": "University of Edinburgh",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-02T00:00:00+06:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49678/galley/37640/download/"
        }
    ]
}