Probabilistic relational programming language

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A probabilistic relational programming language (PRPL) is a programming language specially designed to describe and infer with probabilistic relational models (PRMs).

A PRM is usually developed with a set of algorithms for reducing, inference about and discovery of concerned distributions, which are embedded into the corresponding PRPL. PRPLs often extend from a basic language. The inventors' choices of underlying basic language depend on the similarity of their relational models to the basic language's relational model, as well as commercial considerations and personal preference. For instance, Infer.NET is based on .NET framework, while PRISM extends from Prolog.

Currently there are several PRPLs in active development, some of them have advanced to the beta stage. However because PRMs are new, up to year 2010 there have been no well-known software projects utilizing those languages.

Contents

List of probabilistic relational programming languages [edit]

This list is incomplete; you can help by expanding it.
Name Extends from
IBAL[1] OCAML
PRISM[2] B-Prolog
Infer.NET[3] .NET Framework
dimple [4] MATLAB, Java
BLOG[5]  ?
PSQL[6] SQL
BUGS[7]  ?
FACTORIE[8] Scala
PMTK[9] Matlab
Alchemy[10] C++
Dyna[11] Prolog
Figaro[12] Scala
Church[13] Scheme
ProbLog[14] Prolog

See also [edit]

Notes [edit]

  1. ^ IBAL Home Page
  2. ^ PRISM Home Page
  3. ^ Infer.NET Home Page
  4. ^ dimple Home Page
  5. ^ BLOG Home Page
  6. ^ PSQL: A query language for probabilistic relational data, D. Dey etc
  7. ^ BUGS Home Page
  8. ^ FACTORIE Home Page
  9. ^ PMTK Home Page
  10. ^ Alchemy Home Page
  11. ^ Dyna Home Page
  12. ^ Figaro Home Page
  13. ^ Church Wiki Page
  14. ^ ProbLog Home Page

External links [edit]

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