Generative Modeling by PRISM

  • Taisuke Sato
Conference paper

DOI: 10.1007/978-3-642-02846-5_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5649)
Cite this paper as:
Sato T. (2009) Generative Modeling by PRISM. In: Hill P.M., Warren D.S. (eds) Logic Programming. ICLP 2009. Lecture Notes in Computer Science, vol 5649. Springer, Berlin, Heidelberg

Abstract

PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing it from various viewpoints, we examine some technical details related to logic programming, including semantics, search and program synthesis.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Taisuke Sato
    • 1
  1. 1.Tokyo Institute of TechnologyTokyoJapan

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