Article Instance

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{
    "pk": 32721,
    "title": "A Feedback Neural Network Model of Causal Learning and Causal Reasoning",
    "subtitle": null,
    "abstract": "We present a feedback or recurrent, auto-associative model that captures several important aspects of causal learning and causal reasoning that cannot be handled by feed-forward models. First, our model learns asymmetric relations between cause and effect, and can reason in both directions between cause and effect. As a result it can represent an important distinction in causal reasoning, that between necessary and sufficient causes. Second, it predicts cue competition among effects and provides a mechanism for them, something which can only be done with feed-forward models by assuming that two separate networks are learned, a highly non parsimonious assumption. Finally, we show that contrary to previous claims, a feed-forward model cannot handle Discounting and Augmenting in causal  reasoning, although a feedback model can. The success of our feedback model argues for a greater focus on such models of causal learning and reasoning.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Long Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6rw6z0rp",
    "frozenauthors": [
        {
            "first_name": "Stephen",
            "middle_name": "J.",
            "last_name": "Read",
            "name_suffix": "",
            "institution": "Department of Psychology, University of Southern California",
            "department": ""
        },
        {
            "first_name": "Jorge",
            "middle_name": "A.",
            "last_name": "Montoya",
            "name_suffix": "",
            "institution": "Department of Psychology, University of Southern California",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1999-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32721/galley/23784/download/"
        }
    ]
}