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{
    "pk": 26488,
    "title": "Simple Trees in Complex Forests: Growing Take The Best by Approximate Bayesian Computation",
    "subtitle": null,
    "abstract": "How can heuristic strategies emerge from smaller build-ing blocks? We propose Approximate Bayesian Com-putation (ABC) as a computational solution to thisproblem. As a first proof of concept, we demonstratehow a heuristic decision strategy such as Take The Best(TTB) can be learned from smaller, probabilisticallyupdated building blocks. Based on a self-reinforcingsampling scheme, different building blocks are com-bined and, over time, tree-like non-compensatory heuris-tics emerge. This new algorithm, coined ApproximatelyBayesian Computed Take The Best (ABC-TTB), is ableto recover data that was generated by TTB, leads tosensible inferences about cue importance and cue direc-tions, can outperform traditional TTB, and allows totrade-off performance and computational effort explic-itly.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Heuristics"
        },
        {
            "word": "Take The Best"
        },
        {
            "word": "Approximate Bayesian Computation"
        },
        {
            "word": "Reinforcement Learning"
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6bj9g2vc",
    "frozenauthors": [
        {
            "first_name": "Eric",
            "middle_name": "",
            "last_name": "Schulz",
            "name_suffix": "",
            "institution": "University College London",
            "department": ""
        },
        {
            "first_name": "Maarten",
            "middle_name": "",
            "last_name": "Speekenbrink",
            "name_suffix": "",
            "institution": "University College London",
            "department": ""
        },
        {
            "first_name": "Bjorn",
            "middle_name": "",
            "last_name": "Meder",
            "name_suffix": "",
            "institution": "Max Planck Institute for Human Development",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2016-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26488/galley/16124/download/"
        }
    ]
}