id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_u5pmzhjdpnhcrakq324k5xhjpq	Lorenzo Casini	How to Model Mechanistic Hierarchies	2016	20	.pdf	application/pdf	7454	668	66	The formalism is an extension of the Bayesian network (BN) formalism, already used to model same-level causal relations probabilistically (Pearl, In RBNs, higher-level variables decompose into lower-level causal BNs. This proposal was recently criticized by Gebharter (2014) and Gebharter and motivation—which was only implicit in (Casini et al., 2011)—is that decomposing variables has the additional advantage of making 'interlevel causation' intelligible, by uncoupling (problematic) cases of interlevel downward or upward causation into two (less-problematic) steps, a constitutional, across-level step and a values denoting a lower-level (standard) BN that represents a state of the mechanism for cancer. On the other hand, when C is assigned value 0 we have a network c0 representing a malfunction of the growth mechanism, with no dependence (and no causal RCMC adds to CMC the condition that variables at different levels also stand in relations that fulfil a MC, namely variables network variables that stand for lower-level causal structures.	./cache/work_u5pmzhjdpnhcrakq324k5xhjpq.pdf	./txt/work_u5pmzhjdpnhcrakq324k5xhjpq.txt