Expressive Probability Models in Science

  • Stuart Russell
Conference paper

DOI: 10.1007/3-540-46846-3_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1721)
Cite this paper as:
Russell S. (1999) Expressive Probability Models in Science. In: Arikawa S., Furukawa K. (eds) Discovery Science. DS 1999. Lecture Notes in Computer Science, vol 1721. Springer, Berlin, Heidelberg

Abstract

The paper is a brief summary of an invited talk given at the Discovery Science conference. The principal points are as follows: first, that probability theory forms the basis for connecting hypotheses and data; second, that the expressive power of the probability models used in scientific theory formation has expanded significantly; and finally, that still further expansion is required to tackle many problems of interest. This further expansion should combine probability theory with the expressive power of first-order logical languages. The paper sketches an approximate inference method for representation systems of this kind.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Stuart Russell
    • 1
  1. 1.Computer Science DivisionUniversity of CaliforniaBerkeleyUSA

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