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{
    "pk": 28484,
    "title": "Simulating Explanatory Coexistence:Integrated, Synthetic, and Target-Dependent Reasoning",
    "subtitle": null,
    "abstract": "Understanding the cognitive structure of explanations— andthe cognitive processes that assemble them— is a milestonefor understanding how people learn and communicate. Re-cent research on explanatory coexistence suggests that peo-ple’s causal beliefs are less globally coherent than previouslythought: people use seemingly-competing supernatural and bi-ological causes to explain different aspects of the same phe-nomenon, or they assemble supernatural and biological causesinto single, coherent explanations (Legare & Gelman, 2008;Legare & Shtulman, 2018; Shtulman & Lombrozo, 2016).This coexistence— and unexpected coherence— of diversecausal mechanisms poses interesting questions about the roleof coherence and fragmentation in people’s mental models andexplanations. This paper presents a computational model ofexplanatory coherence in the well-characterized domain of dis-ease transmission, extending a previous cognitive model ofexplanation-based conceptual change (Friedman, Forbus, &Sherin, 2018). Our approach (1) retrieves diverse causal modelfragments based on the phenomenon to explain, (2) assem-bles coherent causal models using relevance-directed abduc-tive reasoning, and (3) selects explanatory paths that supportwithin-explanation and within-scenario coherence. Our modelsimulates the three different types of explanatory coexistencedetailed in the literature.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "cognitive modeling; explanatory coexistence; AI;abductive reasoning; explanation"
        }
    ],
    "section": "Papers with Oral Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7k97m6jd",
    "frozenauthors": [
        {
            "first_name": "Scott",
            "middle_name": "E.",
            "last_name": "Friedman",
            "name_suffix": "",
            "institution": "Smart Information Flow Technologies",
            "department": ""
        },
        {
            "first_name": "Micah",
            "middle_name": "B.",
            "last_name": "Goldwater",
            "name_suffix": "",
            "institution": "The University of Sydney",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-02T00:00:00+06:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28484/galley/18355/download/"
        }
    ]
}