Uncertain Values: An Axiomatic Approach to Axiological Uncertainty

Author:   Stefan Riedener
Publisher:   De Gruyter
ISBN:  

9783111271125


Pages:   168
Publication Date:   08 May 2023
Format:   Paperback
Availability:   In stock   Availability explained
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Uncertain Values: An Axiomatic Approach to Axiological Uncertainty


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Overview

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.

Full Product Details

Author:   Stefan Riedener
Publisher:   De Gruyter
Imprint:   De Gruyter
Weight:   0.412kg
ISBN:  

9783111271125


ISBN 10:   3111271129
Pages:   168
Publication Date:   08 May 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Stefan Riedener, University of Zurich, Zurich, Switzerland.

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