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    The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach. 
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    The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach.

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    Accepted version (100.6Kb)
    Volume
    40
    Pagination
    1496 - 1533
    DOI
    10.1111/cogs.12276
    Journal
    Cogn Sci
    Issue
    6
    Metadata
    Show full item record
    Abstract
    The appeal to expert opinion is an argument form that uses the verdict of an expert to support a position or hypothesis. A previous scheme-based treatment of the argument form is formalized within a Bayesian network that is able to capture the critical aspects of the argument form, including the central considerations of the expert's expertise and trustworthiness. We propose this as an appropriate normative framework for the argument form, enabling the development and testing of quantitative predictions as to how people evaluate this argument, suggesting that such an approach might be beneficial to argumentation research generally. We subsequently present two experiments as an example of the potential for future research in this vein, demonstrating that participants' quantitative ratings of the convincingness of a proposition that has been supported with an appeal to expert opinion were broadly consistent with the predictions of the Bayesian model.
    Authors
    Harris, AJL; Hahn, U; Madsen, JK; Hsu, AS
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/10842
    Collections
    • Electronic Engineering and Computer Science [2359]
    Language
    eng
    Licence information
    This is the peer reviewed version of the following article: Harris, A. J. L., et al. "The Appeal to Expert Opinion: Quantitative support for a Bayesian Network Approach." Cognitive Science (2015), which has been published in final form at http://dx.doi.org/10.1111/cogs.12276. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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