Disagreement and Epistemic Utility-Based Compromise

被引:0
|
作者
Julia Staffel
机构
[1] Washington University in St. Louis,Department of Philosophy
来源
关键词
Epistemic utility; Judgment aggregation; Disagreement; Conditionalization; Linear averaging; Scoring rule;
D O I
暂无
中图分类号
学科分类号
摘要
Epistemic utility theory seeks to establish epistemic norms by combining principles from decision theory and social choice theory with ways of determining the epistemic utility of agents’ attitudes. Recently, Moss (Mind,120(480), 1053–69, 2011) has applied this strategy to the problem of finding epistemic compromises between disagreeing agents. She shows that the norm “form compromises by maximizing average expected epistemic utility”, when applied to agents who share the same proper epistemic utility function, yields the result that agents must form compromises by splitting the difference between their credence functions. However, this “split the difference” norm is in conflict with conditionalization, since applications of the two norms don’t commute. A common response in the literature seems to be to abandon the procedure of splitting the difference in favor of compromise strategies that avoid non-commutativity. This would also entail abandoning Moss’ norm. I explore whether a different response is feasible. If agents can use epistemic utility-based considerations to agree on an order in which they will apply the two norms, they might be able to avoid diachronic incoherence. I show that this response can’t save Moss’ norm, because the agreements concerning the order of compromising and updating it generates are not stable over time, and hence cannot avoid diachronic incoherence. I also show that a variant of Moss’ norm, which requires that the weights given to each agent’s epistemic utility change in a way that ensures commutativity, cannot be justified on epistemological grounds.
引用
收藏
页码:273 / 286
页数:13
相关论文
共 50 条
  • [21] Disagreement and epistemic improvement
    Fernando Broncano-Berrocal
    Mona Simion
    [J]. Synthese, 2021, 199 : 14641 - 14665
  • [22] Asymptotic utility-based pricing and hedging for exponential utility
    Kallsen, Jan
    Rheinlaender, Thorsten
    [J]. STATISTICS & RISK MODELING, 2011, 28 (01) : 17 - 36
  • [23] Epistemic Modal Disagreement
    Jonah Katz
    Joe Salerno
    [J]. Topoi, 2017, 36 : 141 - 153
  • [24] The Epistemic Significance of Disagreement
    Dellsen, Finnur
    [J]. PHILOSOPHICAL QUARTERLY, 2017, 67 (269): : 866 - 868
  • [25] The Epistemic Significance of Disagreement
    Reibsamen, Jonathan
    [J]. TRADITION & DISCOVERY, 2020, 46 (03): : 28 - 31
  • [26] Utility-based Femtocell Pilot Management
    Lin, Michael
    La Porta, Tom
    [J]. 2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2013, : 2051 - 2056
  • [27] Location Utility-based Map Reduction
    Steiner, Ted J.
    Huang, Guoquan
    Leonard, John J.
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2015, : 479 - 486
  • [28] Utility-based pricing of weather derivatives
    Hamisultane, Helene
    [J]. EUROPEAN JOURNAL OF FINANCE, 2010, 16 (06): : 503 - 525
  • [29] Efficient Approximations for Utility-Based Pricing
    Carassus, Laurence
    Ferhoune, Massinissa
    [J]. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2024, 26 (02)
  • [30] Utility-based adaptation of RED parameters
    Villacorta, Rachel P.
    Festin, Cedric Angelo M.
    [J]. HIGH PERFORMANCE COMPUTING - HIPC 2006, PROCEEDINGS, 2006, 4297 : 183 - +