PIRSA:18040121 Conference Quantum Foundations

DOI10.48660/18040121

Conference/School: Algorithmic Information, Induction and Observers in Physics

Hartmann, S. (2018). Argumentation, Conditionals, and the Use of Information Theoretic Concepts in Bayesianism. Perimeter Institute. https://pirsa.org/18040121

Hartmann, Stephan. Argumentation, Conditionals, and the Use of Information Theoretic Concepts in Bayesianism. Perimeter Institute, Apr. 13, 2018, https://pirsa.org/18040121 

@misc{ pirsa_PIRSA:18040121,
  doi = {10.48660/18040121},
  url = {https://pirsa.org/18040121},
  author = {Hartmann, Stephan},
  keywords = {Quantum Foundations},
  language = {en},
  title = {Argumentation, Conditionals, and the Use of Information Theoretic Concepts in Bayesianism},
  publisher = {Perimeter Institute},
  year = {2018},
  month = {apr},
  note = {PIRSA:18040121 see, \url{https://pirsa.org}}
}

Abstract

In this talk, I show how information theoretic concepts can be used to extend the scope of traditional Bayesianism. I will focus on the learning of indicative conditionals (“If A, then B”) and a Bayesian account of argumentation. We will see that there are also interesting connections to research done in the psychology of reasoning. The talk is partly based on the paper “Bayesian Argumentation and the Value of Logical Validity” (with Ben Eva, forthcoming in Psychological Review, http://philsci-archive.pitt.edu/14491/).

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