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Inductive Analogy by Similarity and Proximity

  • Theo A. F. Kuipers
Chapter
Part of the Synthese Library book series (SYLI, volume 197)

Abstract

Modern inductive logic, conceived as a theory of inductive probabilities, is intended to be a useful instrument for learning from experience not only in objective contexts, where there is some underlying objective probability process, but also in other, non-objective contexts. However, for designing inductive systems, objective applications form the primary challenge, for they provide the objective, but unknown, goal which has to be approached in a rational way on the basis of increasing experimental evidence. Hence, in the following we will presuppose an underlying probability process, except when otherwise stated.

Keywords

Markov Chain Prior Belief Inductive System Objective Probability Inductive Logic 
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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References

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Copyright information

© Springer Science+Business Media Dordrecht 1988

Authors and Affiliations

  • Theo A. F. Kuipers
    • 1
  1. 1.Department of PhilosophyUniversity of GroningenGroningenThe Netherlands

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