In causal reasoning a system has the Markov property if given that a->b->c->d you only need to know the value of c to know the probability density of the values of d. x->y means that x is a cause of y.
On Mon, Jun 22, 2020 at 3:22 PM Jon Zingale <[email protected]> wrote: > Yes, exogenous is better. It seems like we are in agreement that something > higher-order is needed, an algebra or otherwise. In regards to truncation, > I > am again thinking about the Gisin paper and staying open to the idea that > we > wouldn't need to amend the model but rather the underlying logic to > accommodate. Whatever model we choose, a truncation property is likely to > be > unsatisfying over a boolean topos and without developing a concept like > computational observability. For now, I am thinking of truncation > interpretation as a separate problem. > > I will have to think more carefully about your point regarding > distributions > and the Markov property. I am not sure that the model is Markovian in that > there is memory bound up in the stigmergy. > > > > -- > Sent from: http://friam.471366.n2.nabble.com/ > > - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/ > -- Frank Wimberly 140 Calle Ojo Feliz Santa Fe, NM 87505 505 670-9918
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