Bayesian Logic (BLOG) is a probabilistic modeling language. It is designed for representing relations and uncertainties among real-world objects. For instance, tracking multiple targets in a video. BLOG makes it easy and concise to represent:

• uncertainty about the existence (and the number) of underlying objects
• uncertain relations among objects
• dependencies among relations and functions
• observed evidence.

• Requirements: Java 1.6 or above (1.7 or above preferred)
• User manual

• For Linux/Mac:

 sbt/sbt compile sbt/sbt stage 

• For Windows:

 sbt\sbt compile sbt\sbt stage 

• blog main execution file to run the engine
• dblog main execution file to run the engine with particle filter (alternative can use blog)
• parse.sh to check the syntax of a blog file (very useful for debugging)
• docs/content/pages/release-note.md contains all release information and major changes

• sublime: see instruction under tools/blog-for-sublime
• emacs: see tools/blog.el
• vim: see tools/blog.vim
• latex pdf: blog_py_lexer, requires a python library pygments, and a latex package minted

• Generate eclipse project files

 sbt/sbt eclipse 

 sbt/sbt universal:package-bin 

All files for web engine are under web. It requires python-webpy package. See web/README.md. To run the engine, please follow the instructions in web/README.md.

Readme Updated: July 2, 2014