Stability and Scepticism in the Modelling of Doxastic States: Probabilities and Plain Beliefs

Rott, Hans (2017) Stability and Scepticism in the Modelling of Doxastic States: Probabilities and Plain Beliefs. MINDS AND MACHINES, 27 (1). pp. 167-197. ISSN 0924-6495, 1572-8641

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Abstract

There are two prominent ways of formally modelling human belief. One is in terms of plain beliefs (yes-or-no beliefs, beliefs simpliciter), i.e., sets of propositions. The second one is in terms of degrees of beliefs, which are commonly taken to be representable by subjective probability functions. In relating these two ways of modelling human belief, the most natural idea is a thesis frequently attributed to John Locke: a proposition is or ought to be believed (accepted) just in case its subjective probability exceeds a contextually fixed probability threshold t < 1. This idea is known to have two serious drawbacks: first, it denies that beliefs are closed under conjunction, and second, it may easily lead to sets of beliefs that are logically inconsistent. In this paper I present two recent accounts of aligning plain belief with subjective probability: the Stability Theory of Leitgeb (Ann Pure Appl Log 164(12): 1338-1389, 2013; Philos Rev 123(2): 131-171, 2014; Proc Aristot Soc Suppl Vol 89(1): 143-185, 2015a; The stability of belief: an essay on rationality and coherence. Oxford University Press, Oxford, 2015b) and the Probalogical Theory (or Tracking Theory) of Lin and Kelly (Synthese 186(2): 531-575, 2012a; J Philos Log 41(6): 957-981, 2012b). I argue that Leitgeb's theory may be too sceptical for the purposes of real life.

Item Type: Article
Uncontrolled Keywords: ; Plain belief; Subjective probability; Formal epistemology; Lockean thesis; Stability Theory of belief; Leitgeb; Lin; Kelly
Subjects: 100 Philosophy & psychology > 100 Philosophy
Divisions: Philosophy, Art History, History, and Humanities > Institut für Philosophie > Lehrstuhl für Theoretische Philosophie (Prof. Dr. phil Hans Rott)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 14 Dec 2018 13:01
Last Modified: 14 Feb 2019 14:54
URI: https://pred.uni-regensburg.de/id/eprint/311

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