Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory

It is often thought that the main significant difference between evidential decision theory and causal decision theory is that they recommend different acts in Newcomb-style examples (broadly construed) where acts and states are correlated in peculiar ways. However, this paper presents a class of no...

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Main Author: Olav Benjamin Vassend
Format: Article
Language:English
Published: Michigan Publishing 2023-07-01
Series:Ergo, An Open Access Journal of Philosophy
Online Access:https://journals.publishing.umich.edu/ergo/article/id/3594/
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author Olav Benjamin Vassend
author_facet Olav Benjamin Vassend
author_sort Olav Benjamin Vassend
collection DOAJ
description It is often thought that the main significant difference between evidential decision theory and causal decision theory is that they recommend different acts in Newcomb-style examples (broadly construed) where acts and states are correlated in peculiar ways. However, this paper presents a class of non-Newcombian examples that evidential decision theory cannot adequately model whereas causal decision theory can. Briefly, the examples involve situations where it is clearly best to perform an act that will not influence the desired outcome. On evidential decision theory—but not causal decision theory—this situation turns out to be impossible: acts that an agent does not think influence the desired outcome are never optimal. Typically, sophisticated versions of evidential decision theory emulate causal decision theoretic reasoning by (implicitly) conditioning on causal confounders, but in the kind of example considered here, this trick does not work. The upshot is that there is more to causal reasoning than has so far been appreciated.
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spelling doaj.art-09887d3b5b2a4242b92710287c95b69a2025-02-18T18:02:01ZengMichigan PublishingErgo, An Open Access Journal of Philosophy2330-40142023-07-019010.3998/ergo.3594Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision TheoryOlav Benjamin Vassend0https://orcid.org/0000-0002-5964-8835Philosophy, Nanyang Technological UniversityIt is often thought that the main significant difference between evidential decision theory and causal decision theory is that they recommend different acts in Newcomb-style examples (broadly construed) where acts and states are correlated in peculiar ways. However, this paper presents a class of non-Newcombian examples that evidential decision theory cannot adequately model whereas causal decision theory can. Briefly, the examples involve situations where it is clearly best to perform an act that will not influence the desired outcome. On evidential decision theory—but not causal decision theory—this situation turns out to be impossible: acts that an agent does not think influence the desired outcome are never optimal. Typically, sophisticated versions of evidential decision theory emulate causal decision theoretic reasoning by (implicitly) conditioning on causal confounders, but in the kind of example considered here, this trick does not work. The upshot is that there is more to causal reasoning than has so far been appreciated.https://journals.publishing.umich.edu/ergo/article/id/3594/
spellingShingle Olav Benjamin Vassend
Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory
Ergo, An Open Access Journal of Philosophy
title Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory
title_full Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory
title_fullStr Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory
title_full_unstemmed Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory
title_short Sometimes It Is Better to Do Nothing: A New Argument for Causal Decision Theory
title_sort sometimes it is better to do nothing a new argument for causal decision theory
url https://journals.publishing.umich.edu/ergo/article/id/3594/
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