Uncertain Values : An Axiomatic Approach to Axiological Uncertainty / Stefan Riedener.

Format:

Book

Author/Creator:

Riedener, Stefan, 1988- Author.

Contributor:

Schweizerischer Nationalfonds (SNF), Funder.

Series:

Ideen and Argumente

Ideen & Argumente , 1862-1147

Language:

English

Physical Description:

1 online resource (XII, 156 p.)

Edition:

1st ed.

Place of Publication:

Berlin ; Boston : De Gruyter, [2021]

Language Note:

In English.

Summary:

How ought you to evaluate your options if you're uncertain about what's fundamentally valuable? A prominent response is Expected Value Maximisation (EVM)-the view that under axiological uncertainty, an option is better than another if and only if it has the greater expected value across axiologies. But the expected value of an option depends on quantitative probability and value facts, and in particular on value comparisons across axiologies. We need to explain what it is for such facts to hold. Also, EVM is by no means self-evident. We need an argument to defend that it's true. This book introduces an axiomatic approach to answer these worries. It provides an explication of what EVM means by use of representation theorems: intertheoretic comparisons can be understood in terms of facts about which options are better than which, and mutatis mutandis for intratheoretic comparisons and axiological probabilities. And it provides a systematic argument to the effect that EVM is true: the theory can be vindicated through simple axioms. The result is a formally cogent and philosophically compelling extension of standard decision theory, and original take on the problem of axiological or normative uncertainty.

Contents:

Frontmatter

Acknowledgments

Contents

1 The problem of axiological uncertainty

2 The basic argument

3 Evaluating the argument

4 The problem of intertheoretic comparisons

5 The problem of probabilities

6 The problem of incommensurabilities

A Appendix

Bibliography

Index Rerum

Index Nominum

Notes:

Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Okt 2021)

This eBook is made available Open Access under a CC BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0 https://www.degruyter.com/dg/page/open-access-policy

Description based upon print version of record.

ISBN:

9783110736199

3110736195

OCLC:

1280942626