Are there good versions of DAGs for other things than causality?
I’ve found Pearl-style causal DAGs (and other causal graphical models) useful for reasoning about causality. It’s a nice way to abstractly talk and think about it without needing to get bogged down with fiddly details.
In a way, causality describes the paths through which information can “flow”. But information is not the only thing in the universe that gets transferred from node to node; there’s also things like energy, money, etc., which have somewhat different properties but intuitively seem like they could benefit from graph-based models too.
I’m pretty sure I’ve seen a number of different graph-based models for describing different flows like this, but I don’t know their names, and also the ones I’ve seen seemed highly specialized and I’m not sure they’re the best to use. But I thought, it seems quite probable that someone on LessWrong would know of a recommended system to learn.
Are there good versions of DAGs for other things than causality?
I’ve found Pearl-style causal DAGs (and other causal graphical models) useful for reasoning about causality. It’s a nice way to abstractly talk and think about it without needing to get bogged down with fiddly details.
In a way, causality describes the paths through which information can “flow”. But information is not the only thing in the universe that gets transferred from node to node; there’s also things like energy, money, etc., which have somewhat different properties but intuitively seem like they could benefit from graph-based models too.
I’m pretty sure I’ve seen a number of different graph-based models for describing different flows like this, but I don’t know their names, and also the ones I’ve seen seemed highly specialized and I’m not sure they’re the best to use. But I thought, it seems quite probable that someone on LessWrong would know of a recommended system to learn.