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"For the notion of causality to make sense we need to constrain the class of graphs that can be used in a causal model. Obviously, it’d make no sense to have lo
by xaedes 6y ago
"For the notion of causality to make sense we need to constrain the class of graphs that can be used in a causal model. Obviously, it’d make no sense to have loops in the graph:
We can’t have X causing Y causing Z causing X! At least, not without a time machine. Because of this we constrain the graph to be a directed acyclic graph, meaning a (directed) graph which has no loops in it."
Of course you can have loops, no need for time machine:
https://en.wikipedia.org/wiki/Virtuous_circle_and_vicious_circle https://en.wikipedia.org/wiki/Virtuous_circle_and_vicious_ci...
https://en.wikipedia.org/wiki/Causal_loop_diagram https://en.wikipedia.org/wiki/Causal_loop_diagram
https://en.wikipedia.org/wiki/Positive_feedback https://en.wikipedia.org/wiki/Positive_feedback
- spot5010 6y agoThe examples you have posted do not contradict what the author is saying. A feedback cycle is something like: a quantity A at time t1 given by A(t1) influences another quantity B(t2) which in turn influences A(t3). Here t3 > t2 > t1. We would run into causality issues if t3 = t1, but that doesn’t happen.
- jobigoud 6y agoIn your examples X and Z are events of the same kind but not the same event.