Switch to: References

Add citations

You must login to add citations.
  1. Cosmology and inductive inference: A bayesian failure.John D. Norton - unknown
    A probabilistic logic of induction is unable to separate cleanly neutral support from disfavoring evidence (or ignorance from disbelief). Thus, the use of probabilistic representations may introduce spurious results stemming from its expressive inadequacy. That such spurious results arise in the Bayesian “doomsday argument” is shown by a reanalysis that employs fragments of an inductive logic able to represent evidential neutrality. Further, the improper introduction of inductive probabilities is illustrated with the “self-sampling assumption.”.
    Download  
     
    Export citation  
     
    Bookmark  
  • (1 other version)Cosmic Confusions: Not Supporting versus Supporting Not.John D. Norton - 2010 - Philosophy of Science 77 (4):501-523.
    Bayesian probabilistic explication of inductive inference conflates neutrality of supporting evidence for some hypothesis H (“not supporting H”) with disfavoring evidence (“supporting not-H”). This expressive inadequacy leads to spurious results that are artifacts of a poor choice of inductive logic. I illustrate how such artifacts have arisen in simple inductive inferences in cosmology. In the inductive disjunctive fallacy, neutral support for many possibilities is spuriously converted into strong support for their disjunction. The Bayesian “doomsday argument” is shown to rely entirely (...)
    Download  
     
    Export citation  
     
    Bookmark   35 citations  
  • The material theory of induction.John D. Norton - 2021 - Calgary, Alberta, Canada: University of Calgary Press.
    The inaugural title in the new, Open Access series BSPS Open, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference. The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single (...)
    Download  
     
    Export citation  
     
    Bookmark   42 citations  
  • A Demonstration of the Incompleteness of Calculi of Inductive Inference.John D. Norton - 2019 - British Journal for the Philosophy of Science 70 (4):1119-1144.
    A complete calculus of inductive inference captures the totality of facts about inductive support within some domain of propositions as relations or theorems within the calculus. It is demonstrated that there can be no complete, non-trivial calculus of inductive inference.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • The Ideal of the Completeness of Calculi of Inductive Inference: An Introductory Guide to its Failure.John D. Norton - unknown
    Non-trivial calculi of inductive inference are incomplete. This result is demonstrated formally elsewhere. Here the significance and background to the result is described. This note explains what is meant by incompleteness, why it is desirable, if only it could be secured, and it gives some indication of the arguments needed to establish its failure. The discussion will be informal, using illustrative examples rather than general results. Technical details and general proofs are presented in Norton.
    Download  
     
    Export citation  
     
    Bookmark   1 citation