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Can I read Non-Bayesian Decision Theory: Beliefs and Desires as Reasons for Action (Theory and Decision Library A:, 44) on EtoBox?
Non-Bayesian Decision Theory: Beliefs and Desires as Reasons for Action (Theory and Decision Library A:, 44) by Martin Peterson is a nonfiction available to read on EtoBox.
What is Non-Bayesian Decision Theory: Beliefs and Desires as Reasons for Action (Theory and Decision Library A:, 44) about?
This book aims to present an account of rational choice from a non-Bayesian point of view. Rational agents maximize subjective expected utility, but contrary to what is claimed by Bayesians, the author argues that utility and subjective probability should not be defined in terms of preferences over uncertain prospects. To some extent, the authorвЂTMs non-Bayesian view gives a modern account of what decision theory could have been like, had decision theorists not entered the Bayesian path discovered by Ramsey, Savage, and Jeffrey. The author argues that traditional Bayesian decision theory is unavailing from an action-guiding perspective. For the deliberating Bayesian agent, the output of decision theory is not a set of preferences over alternative acts - these preferences are on the contrary used as input to the theory. Instead, the output is a (set of) utility function(s) that can be used for describing the agent as an expected utility maximizer, which are of limited normative relevance. On the non-Bayesian view articulated by the author, utility and probability are defined in terms of preferences over certain outcomes. These utility and probability functions are then used for gen
Who reads Non-Bayesian Decision Theory: Beliefs and Desires as Reasons for Action (Theory and Decision Library A:, 44)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Martin Peterson
- Publisher
- Springer Science + Business Media B.V
- Published
- 2008
- Language
- EN
- ISBN
- 9781402086991
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Business
Other editions & translations
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