Is Causal Reasoning Harder than Probabilistic Reasoning?
Milan MosséDuligur IbelingThomas IcardPublished in: CoRR (2021)
Keyphrases
- probabilistic reasoning
- causal reasoning
- knowledge representation
- bayesian networks
- reasoning under uncertainty
- first order logic
- constraint satisfaction
- probabilistic logic
- probabilistic inference
- causal models
- np complete
- belief networks
- logic programming
- directed acyclic graph
- default logic
- np hard
- knowledge base
- markov logic networks
- neural network
- special case
- lower bound