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Learning by Erasing in Dynamic Epistemic Logic

  • Nina Gierasimczuk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5457)

Abstract

This work provides a comparison of learning by erasing [1] and iterated epistemic update [2] as analyzed in dynamic epistemic logic (see e.g.[3]). We show that finite identification can be modelled in dynamic epistemic logic and that the elimination process of learning by erasing can be seen as iterated belief-revision modelled in dynamic doxastic logic.

Keywords

Actual World Turing Machine Epistemic State Inductive Inference Indistinguishability Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Nina Gierasimczuk
    • 1
    • 2
  1. 1.Institute for Logic, Language, and ComputationUniversity of AmsterdamThe Netherlands
  2. 2.Institute of PhilosophyUniversity of WarsawPoland

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