Hartmann, Stephan (2020) Bayes Nets and Rationality. [Preprint]

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Abstract

Bayes nets are a powerful tool for researchers in statistics and artificial intelligence. This chapter demonstrates that they are also of much use for philosophers and psychologists interested in (Bayesian) rationality. To do so, we outline the general methodology of Bayes nets modeling in rationality research and illustrate it with several examples from the philosophy and psychology of reasoning and argumentation. Along the way, we discuss the normative foundations of Bayes nets modeling and address some of the methodological problems it raises.

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Item Type:	Preprint
Creators:	Creators Email ORCID Hartmann, Stephan s.hartmann@lmu.de 0000-0001-8676-2177
Keywords:	Bayesian networks, rationality
Subjects:	General Issues > Confirmation/Induction Specific Sciences > Psychology > Judgment and Decision Making Specific Sciences > Probability/Statistics
Depositing User:	Stephan Hartmann
Date Deposited:	22 Feb 2020 00:40
Last Modified:	12 Jul 2024 16:58
Item ID:	16937
Subjects:	General Issues > Confirmation/Induction Specific Sciences > Psychology > Judgment and Decision Making Specific Sciences > Probability/Statistics
Date:	21 February 2020
URI:	https://philsci-archive.pitt.edu/id/eprint/16937

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