2004/01/01 by Kevin B. Korb · 2 citations
Computer Science · Arts and Humanities · Biochemistry, Genetics and Molecular Biology · #Bayesian Modeling and Causal Inference #Philosophy and History of Science #Biomedical Text Mining and Ontologies
paper · pdf · doi:10.22329/il.v24i1.2132
openalex publication_date 2004/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/05/21
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.