Is Causal Reasoning Harder than Probabilistic Reasoning?
Milan MosséDuligur IbelingThomas IcardPublished in: Rev. Symb. Log. (2024)
Keyphrases
- probabilistic reasoning
- causal reasoning
- knowledge representation
- bayesian networks
- reasoning under uncertainty
- probabilistic logic
- first order logic
- logic programming
- constraint satisfaction
- causal models
- probabilistic inference
- belief networks
- np complete
- directed acyclic graph
- np hard
- default logic
- knowledge base
- markov logic networks
- qualitative probabilistic networks
- back propagation
- graphical models
- higher order
- conditional independence
- general purpose
- probabilistic model
- dynamic programming