Conclusions
	n Framework for active learning for causal structure n Theoretical analysis supported by experimental results n Efficient algorithm n Closed form distribution for fixed ordering n MCMC samples of orderings n Use of graphical model inference to perform exponential computation n Future work: missing data, continuous variables