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Caspar Oesterheld

Biographic Data

ID9511462
NAMECaspar Oesterheld
GIVEN NAMESCaspar
FAMILY NAMEOesterheld
SIGNATUREOESTERHELD C
AFFILIATIONSDuke University, NC, USA
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2021
H-INDEX0
  • The Evidentialist's Wager

    William Macaskill, Aron Vallinder et al.•ARTICLE•The Journal of Philosophy•2021

    Suppose that an altruistic agent who is uncertain between evidential and causal decision theory finds herself in a situation where these theories give conflicting verdicts. We argue that even if she has significantly higher credence in CDT, she should nevertheless act in accordance with EDT. First, we claim that the appropriate response to normative uncertainty is to hedge one's bets. That is, if the stakes are much higher on one theory than anot…

  • Extracting Money from Causal Decision Theorists

    Open Access•Christian Oesterheld, Caspar Oesterheld et al.•ARTICLE•The Philosophical Quarterly•2020•References: 1

    Newcomb’s problem has spawned a debate about which variant of expected utility maximisation (if any) should guide rational choice. In this paper, we provide a new argument against what is probably the most popular variant: causal decision theory (CDT). In particular, we provide two scenarios in which CDT voluntarily loses money. In the first, an agent faces a single choice and following CDT’s recommendation yields a loss of money in expectation. …

No prominent works on this page.

  • Extracting Money from Causal Decision Theorists

    Open Access•Christian Oesterheld, Caspar Oesterheld et al.•ARTICLE•The Philosophical Quarterly•2020•References: 1

    Newcomb’s problem has spawned a debate about which variant of expected utility maximisation (if any) should guide rational choice. In this paper, we provide a new argument against what is probably the most popular variant: causal decision theory (CDT). In particular, we provide two scenarios in which CDT voluntarily loses money. In the first, an agent faces a single choice and following CDT’s recommendation yields a loss of money in expectation. …

  • The Evidentialist's Wager

    William Macaskill, Aron Vallinder et al.•ARTICLE•The Journal of Philosophy•2021

    Suppose that an altruistic agent who is uncertain between evidential and causal decision theory finds herself in a situation where these theories give conflicting verdicts. We argue that even if she has significantly higher credence in CDT, she should nevertheless act in accordance with EDT. First, we claim that the appropriate response to normative uncertainty is to hedge one's bets. That is, if the stakes are much higher on one theory than anot…

Computer Science (2 works) · Decision theory (2 works) · Economics (2 works) · Microeconomics (2 works) · Altruism (biology) (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian Modeling and Causal Inference (1 work) · Complex Systems and Time Series Analysis (1 work) · Credence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae