Bayesianism in a Social Context

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Publication Type honors thesis
School or College College of Humanities
Department Philosophy
Faculty Mentor Jonah N. Schuphach
Creator Enda, Michael
Title Bayesianism in a Social Context
Date 2019
Description In this paper I push for and defend the adoption of a Bayesianism belief structure. Bayesianism is a belief structure based on the probability axioms of Kolmogorov. Given this, Bayesianism inherits the mathematical formulations of its origin. In order to explain and motivate the adoption of Bayesianism I provide a brief explanation of the underlying, inductive, logic and how it serves as a better formalize the inferences found in our natural language. Once the logical framework has been established I give a summary of the relevant parts of probability theory and how we can adopt the math to represent beliefs. Finally I justify how Bayesianism is still a valuable system of belief even if we are not perfect Bayesian agents.
Type Text
Publisher University of Utah
Language eng
Rights Management (c) Michael Enda
Format Medium application/pdf
Permissions Reference URL https://collections.lib.utah.edu/ark:/87278/s6gb7t0w
ARK ark:/87278/s6sf8k7b
Setname ir_htoa
ID 1588386
Reference URL https://collections.lib.utah.edu/ark:/87278/s6sf8k7b
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