<div dir="ltr">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.</div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Jun 22, 2020 at 3:22 PM Jon Zingale <<a href="mailto:jonzingale@gmail.com">jonzingale@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Yes, exogenous is better. It seems like we are in agreement that something<br>
higher-order is needed, an algebra or otherwise. In regards to truncation, I<br>
am again thinking about the Gisin paper and staying open to the idea that we<br>
wouldn't need to amend the model but rather the underlying logic to<br>
accommodate. Whatever model we choose, a truncation property is likely to be<br>
unsatisfying over a boolean topos and without developing a concept like<br>
computational observability. For now, I am thinking of truncation<br>
interpretation as a separate problem.<br>
<br>
I will have to think more carefully about your point regarding distributions<br>
and the Markov property. I am not sure that the model is Markovian in that<br>
there is memory bound up in the stigmergy.<br>
<br>
<br>
<br>
--<br>
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</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature">Frank Wimberly<br>140 Calle Ojo Feliz<br>Santa Fe, NM 87505<br>505 670-9918</div>