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{
    "pk": 27650,
    "title": "Computational Foundations of Cultural Evolution: Modeling the Emergence ofSystems from Higher-order Probabilistic Inference",
    "subtitle": null,
    "abstract": "Cumulative cultural evolution in humans is the process through which behaviours gain structure and complexityas they are transmitted from one generation of learners to the next. A central challenge in the cultural evolution literatureis to understand how the unique computational principles of human cognition scaffold the emergence of complex behaviouralsystems. I explore how the human ability to make inferences at higher order levels of abstraction can lead to cultural complexity,in two ways: by allowing initially independent behaviours to gradually acquire group-like structure as new learners repeatedlyimpose an expectation for statistical dependence; and by allowing inferences in one domain to be rapidly transferred to newdomains which share features at higher-order levels of abstraction. I model these processes in populations using a probabilisticcognitive model for the acquisition of vowel systems in human language.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Posters: Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8d95d9tx",
    "frozenauthors": [
        {
            "first_name": "Bill",
            "middle_name": "",
            "last_name": "Thompson",
            "name_suffix": "",
            "institution": "Max Planck Institute for Psycholinguistics",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
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    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27650/galley/17286/download/"
        }
    ]
}