Argument and Computation 5 (2-3):139-159 (2014)

Douglas Walton
Last affiliation: University of Windsor
This paper takes an argumentation approach to find the place of trust in a method for evaluating arguments from expert opinion. The method uses the argumentation scheme for argument from expert opinion along with its matching set of critical questions. It shows how to use this scheme in three formal computational argumentation models that provide tools to analyse and evaluate instances of argument from expert opinion. The paper uses several examples to illustrate the use of these tools. A conclusion of the paper is that from an argumentation point of view, it is better to critically question arguments from expert opinion than to accept or reject them based solely on trust
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DOI 10.1080/19462166.2013.858183
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References found in this work BETA

The Uses of Argument.Stephen E. Toulmin - 1958 - Cambridge University Press.
Argumentation Schemes.Douglas Walton, Chris Reed & Fabrizio Macagno - 2008 - Cambridge and New York: Cambridge University Press.
Logic and Conversation.H. Paul Grice - 1975 - In Maite Ezcurdia & Robert J. Stainton (eds.), The Semantics-Pragmatics Boundary in Philosophy. Broadview Press. pp. 47.
Logic and Conversation.H. P. Grice - 1975 - In Donald Davidson & Gilbert Harman (eds.), The Logic of Grammar. Encino, CA: pp. 64-75.
Argumentation Schemes.Douglas Walton, Christopher Reed & Fabrizio Macagno - 2008 - Cambridge and New York: Cambridge University Press.

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Citations of this work BETA

Argumentation Schemes in AI and Law.Katie Atkinson & Trevor Bench-Capon - 2021 - Argument and Computation 12 (3):417-434.
Two Types of Argument From Position to Know.David Botting - 2018 - Informal Logic 38 (4):502-530.

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Appeal to Expert Opinion: Arguments From Authority.Douglas Neil Walton - 1997 - University Park, PA, USA: Pennsylvania State University Press.
Douglas Walton, Appeal to Expert Opinion– Arguments From Authority.Ronald Leenes - 2000 - Artificial Intelligence and Law 8 (2-3):277-281.
Experts in Uncertainty: Opinion and Subjective Probability in Science.Roger M. Cooke (ed.) - 1991 - Oxford, England: Oxford University Press.


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