Contents

• Introduction
  • Acknowledgements
  
  
• Tutorial
  • Simple concept learning
  • A different prior
  • Changing the likelihood
  • A mixture prior
  • Using continuous distributions
  
  
• Syntax
• Files and directories
  • Files
  • Directories
  • C Code recompilation
  • Development and bug reports
  
  
• Running experiments
  • Backtracking proposals
  
  
• Model spaces
  • BNs
  • RPDAGs
  • C&RTs
  • Pedigrees
  
  
• New model spaces
  • Likelihood
  • Displaying models
  • Writing SLPs
  
  
• Other features
  • Sampling
  • Global Priors Ratio
  • Tempering
  
  
• Options for run/1
• Arguments for run_data/11
• Failure Model (fm) universe vs. Real Model (rm) universe
  • SLP Program
  • Transformed Program
  
  
• Bibliography