Informal Logic 26 (1):1-24 (2006)
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Abstract |
In this article, we argue for the general importance of normative theories of argument strength. We also provide some evidence based on our recent work on the fallacies as to why Bayesian probability might, in fact, be able to supply such an account. In the remainder of the article we discuss the general characteristics that make a specifically Bayesian approach desirable, and critically evaluate putative flaws of Bayesian probability that have been raised in the argumentation literature
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Keywords | Argumentation, fallacies, Bayesian probability, argument from ignorance, slippery slope arguments, circular arguments, Theophrastus rule |
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Reprint years | 2008 |
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References found in this work BETA
Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
Judgment Under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
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Citations of this work BETA
A Normative Framework for Argument Quality: Argumentation Schemes with a Bayesian Foundation.Ulrike Hahn & Jos Hornikx - 2016 - Synthese 193 (6):1833-1873.
A Probabilistic Analysis of Argument Cogency.David Godden & Frank Zenker - 2018 - Synthese 195 (4):1715-1740.
Because Hitler Did It! Quantitative Tests of Bayesian Argumentation Using Ad Hominem.Adam J. L. Harris, Anne S. Hsu & Jens K. Madsen - 2012 - Thinking and Reasoning 18 (3):311 - 343.
Normative Theories of Argumentation: Are Some Norms Better Than Others?Adam Corner & Ulrike Hahn - 2013 - Synthese 190 (16):3579-3610.
Arguing About Desirable Consequences: What Constitutes a Convincing Argument?Hans Hoeken, Rian Timmers & Peter Jan Schellens - 2012 - Thinking and Reasoning 18 (3):394 - 416.
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