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Titlebook: Non-Bayesian Decision Theory; Beliefs and Desires Martin Peterson Book 2008 Springer Science+Business Media B.V. 2008 Bayesian.Independenc

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發(fā)表于 2025-3-21 17:53:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Non-Bayesian Decision Theory
副標(biāo)題Beliefs and Desires
編輯Martin Peterson
視頻videohttp://file.papertrans.cn/668/667171/667171.mp4
概述First non-Bayesian account of normative decision theory.Axiomatisation of expected utility principle does not rely on independence axiom.Includes a formal account of the framing of decision problems
叢書(shū)名稱(chēng)Theory and Decision Library A:
圖書(shū)封面Titlebook: Non-Bayesian Decision Theory; Beliefs and Desires  Martin Peterson Book 2008 Springer Science+Business Media B.V. 2008 Bayesian.Independenc
描述For quite some time, philosophers, economists, and statisticians have endorsed a view on rational choice known as Bayesianism. The work on this book has grown out of a feeling that the Bayesian view has come to dominate the academic com- nitytosuchanextentthatalternative,non-Bayesianpositionsareseldomextensively researched. Needless to say, I think this is a pity. Non-Bayesian positions deserve to be examined with much greater care, and the present work is an attempt to defend what I believe to be a coherent and reasonably detailed non-Bayesian account of decision theory. The main thesis I defend can be summarised as follows. Rational agents m- imise subjective expected utility, but contrary to what is claimed by Bayesians, ut- ity and subjective probability should not be de?ned in terms of preferences over uncertain prospects. On the contrary, rational decision makers need only consider preferences over certain outcomes. It will be shown that utility and probability fu- tions derived in a non-Bayesian manner can be used for generating preferences over uncertain prospects, that support the principle of maximising subjective expected utility. To some extent, this non-Bayesian view g
出版日期Book 2008
關(guān)鍵詞Bayesian; Independence axiom; Non-Bayesian Decision Theory; Utility Theory; decision theory; probability
版次1
doihttps://doi.org/10.1007/978-1-4020-8699-1
isbn_softcover978-90-481-7957-2
isbn_ebook978-1-4020-8699-1Series ISSN 0921-3384 Series E-ISSN 2352-2119
issn_series 0921-3384
copyrightSpringer Science+Business Media B.V. 2008
The information of publication is updating

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Bayesian decision theory,he concepts of probability and utility can be defined in terms of preferences over a set of uncertain prospects:.The plan of this chapter is as follows. Section 2.1 gives a detailed but nontechnical introduction to the basic ideas of Bayesian decision theory. Sections 2.2 to 2.4 are devoted to the t
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Indeterminate preferences, to be preferred over another . the agent holds certain desires and beliefs about its possible outcomes. This is a natural extension of the Humean belief-desire model of action, from deterministic to non-deterministic choices. In this and the following three chapters, this so far vaguely stated view
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Utility,ences developed in Chapter 4. Another important element is a technical result originally proved by Luce (1959/2005). Luce showed that there is a close link between the utility of an object and the probability that it is chosen. More precisely put, he proved that the higher the utility of an object i
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Martin PetersonFirst non-Bayesian account of normative decision theory.Axiomatisation of expected utility principle does not rely on independence axiom.Includes a formal account of the framing of decision problems
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