Comparative Study of Probabilistic Logic Languages and Systems

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These pages serve as a platform for
  • the formulation of challenge problems
  • submission of solution to challenge problems
  • comparative analysis and benchmarking
of probabilistic logic language systems.

Systems currently included in the comparison are
Alchemy
Balios
Blog
CLP(BN)
IBAL
Primula
Prism

It is our aim to include further systems in this comparison.

Systems should be compared with respect to

  • Expressivity: what probabilistic models can be represented?
  • Inference: what queries can be (efficiently) answered?
  • Learnability: what models can be (efficiently) learned from data?



We invite submission of challenge problems and solutions to existing challenge problems. Please send contributions to Manfred Jaeger.