Two Approaches to Belief Revision

نویسندگان

  • Luc Bovens
  • Kenny Easwaran
  • Haim Gaifman
  • Konstantinos Georgatos
  • Jeremy Goodman
  • Justin Fisher
  • Kevin Kelly
  • Hannes Leitgeb
  • Isaac Levi
  • Hanti Lin
  • Eric Pacuit
  • Rohit Parikh
  • Richard Pettigrew
  • Eric Raidl
  • Hans Rott
  • Jonah Schupbach
چکیده

In this paper, we compare and contrast two methods for the qualitative revision of (viz., “full”) beliefs. The first (“Bayesian”) method is generated by a simplistic diachronic Lockean thesis requiring coherence with the agent’s posterior credences after conditionalization. The second (“Logical”) method is the orthodox AGM approach to belief revision. Our primary aim will be to characterize the ways in which these two approaches can disagree with each other — especially in the special case where the agent’s belief set is deductively cogent.

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تاریخ انتشار 2017