I asked this question on social media and in the systems thinking facebook groups (#lazyweb – all those I could address with a single click through buffer.com).
I think my emergent point is that any real distinction is purely tactical/motivated/arbitrary – at the very least that the overlaps between ‘cybernetics’, ‘systems thinking’, and ‘complexity science’ are so massive – and have such shared routes – that, in order to carve any of them out as individual territories, you have to artificially apportion stuff that rightfully belongs to one or both to the other… if you see what I mean! Remember that I am trying to think specifically about *methods*.
Each has some elements which are of course distinct – agent-based modelling seems like the best candidate in ‘complexity’ – and certainly specific *applications* of mathematical techniques – and maybe some stuff around network modelling?
Here are the threads:
There will now follow a lot of posts of interesting approaches unearthed!