Bayesian Informal Logic and Fallacy

Authors

  • Kevin Korb

DOI:

https://doi.org/10.22329/il.v24i1.2132

Keywords:

Bayesian reasoning, logical fallacies, statistical fallacies, causal fallacies, teaching probabilistic reasoning

Abstract

Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments. I analyse a variety of traditional fallacies, deductive, inductive and causal, and find more merit in them than is generally acknowledged. Bayesian principles provide a framework for understanding ordinary arguments which is well worth developing.

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Published

2004-01-01

Issue

Section

Articles