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{
    "pk": 28555,
    "title": "Model-based Approach with ACT-Rabout Benefits of Memory-based Strategy on Anomalous Behaviors",
    "subtitle": null,
    "abstract": "Users sometimes face anomalous behaviors of systems, such asmachine failures and autonomous agents. Predicting suchbehaviors of systems is difficult. We investigate the benefits ofthe memory-based strategy, which focuses on memorization ofinstances to predict anomalous and regular behaviors of thesystem, with ACT-R simulations with a cognitive model. Inthis study, we presumed the parameters defining the encodingprocesses on anomalous instances and regular instances in themodel of the memory-based strategy and performedsimulations to verify how these two parameters influenceprediction performance. The results of simulations showed that(1) regular instances are not encoded as default values in thememory-based strategy and that (2) such inactivity on regularinstances suppresses commission errors of regular instancesand does not suppress commission errors of anomalousinstances nor omission errors.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "memory-based strategy; prediction; anomalousbehavior; regular behavior; ACT-R"
        }
    ],
    "section": "Papers with Oral Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4kk5q08w",
    "frozenauthors": [
        {
            "first_name": "Shota",
            "middle_name": "",
            "last_name": "Matsubayashi",
            "name_suffix": "",
            "institution": "Nagoya University",
            "department": ""
        },
        {
            "first_name": "Kazuhisa",
            "middle_name": "",
            "last_name": "Miwa",
            "name_suffix": "",
            "institution": "Kindai University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28555/galley/18426/download/"
        }
    ]
}