Bayesian Informal Logic and Fallacy

Kevin Korb

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.

Keywords


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

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DOI: http://dx.doi.org/10.22329/il.v24i1.2132

ISSN: 0824-2577