Article Instance

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{
    "pk": 5260,
    "title": "Covariation, Structure and Generalization: Building Blocks of Causal Cognition",
    "subtitle": null,
    "abstract": "Theories of causal cognition describe how animals code cognitive primitives such as causal strength, directionality of relations, and other variables that allow inferences on the effect of interventions on causal links. We argue that these primitives and importantly causal generalization can be studied within an animal learning framework. Causal maps and other Bayesian approaches provide a normative framework for studying causal cognition, and associative theory provides algorithms for computing the acquisition of data-driven causal knowledge.",
    "language": "en",
    "license": {
        "name": "Creative Commons Attribution 4.0",
        "short_name": "CC BY 4.0",
        "text": "Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.\r\n\r\nNo additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",
        "url": "https://creativecommons.org/licenses/by/4.0"
    },
    "keywords": [
        {
            "word": "International Journal of Comparative Psychology"
        },
        {
            "word": "Behavior"
        },
        {
            "word": "Behaviour"
        },
        {
            "word": "Communication"
        },
        {
            "word": "vocalization"
        },
        {
            "word": "learning"
        },
        {
            "word": "Behavioral Taxonomy"
        },
        {
            "word": "cognition"
        },
        {
            "word": "Cognitive Processes"
        },
        {
            "word": "Intelligence"
        },
        {
            "word": "Choice"
        },
        {
            "word": "Conditioning"
        },
        {
            "word": "Language"
        },
        {
            "word": "Bayesian"
        },
        {
            "word": "Cognitive primitive"
        },
        {
            "word": "causality"
        }
    ],
    "section": "Research Article",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4q9246cr",
    "frozenauthors": [
        {
            "first_name": "Robin",
            "middle_name": "A.",
            "last_name": "Murphy",
            "name_suffix": "",
            "institution": "",
            "department": "None"
        },
        {
            "first_name": "Esther",
            "middle_name": "",
            "last_name": "Mondragón",
            "name_suffix": "",
            "institution": "University College London",
            "department": "None"
        },
        {
            "first_name": "Victoria",
            "middle_name": "A.",
            "last_name": "Murphy",
            "name_suffix": "",
            "institution": "University of Oxford",
            "department": "None"
        }
    ],
    "date_submitted": "2013-11-20T08:02:22+05:30",
    "date_accepted": "2013-11-20T08:02:22+05:30",
    "date_published": "2009-02-01T13:30:00+05:30",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "",
            "path": "https://journalpub.escholarship.org/uclapsych_ijcp/article/5260/galley/3139/download/"
        }
    ]
}