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Probability kinematics

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Abstract

Probability kinematics is studied in detail within the framework of elementary probability theory. The merits and demerits of Jeffrey's and Field's models are discussed. In particular, the principle of maximum relative entropy and other principles are used in an epistemic justification of generalized conditionals. A representation of conditionals in terms of Bayesian conditionals is worked out in the framework of ‘external’ kinematics.

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References

  1. Field, H.: 1978, ‘Note on Jeffrey conditionalization’, Philosophy of Science 45, 361–367.

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  2. Jeffrey, R.: 1965, The Logic of Decision, McGraw-Hill, New York.

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Authors and Affiliations

  1. University of Pennsylvania, USA

    Zoltan Domotor

  2. Stanford University, USA

    Mario Zanotti

  3. San Jose State University, USA

    Henson Graves

Authors
  1. Zoltan Domotor
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  2. Mario Zanotti
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  3. Henson Graves
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Domotor, Z., Zanotti, M. & Graves, H. Probability kinematics. Synthese 44, 421–442 (1980). https://doi.org/10.1007/BF00413470

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  • DOI: https://doi.org/10.1007/BF00413470

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