[FRIAM] The epiphenomenality relation

[Frank Wimberly]

I did a number of experiments in the use of causal learning methods to
infer genetic regulatory networks using actual and simulated data.  Those
networks have loops of a variety of lengths.  References available upon
request.

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Sun, Nov 28, 2021, 4:41 PM Marcus Daniels <marcus at snoutfarm.com> wrote:

> I just don't see how that is a "loop" except that repeated application of
> such a matrix could lead to oscillation.    It sounded like somehow
> causality was violated and not just obscured.
>
> -----Original Message-----
> From: Friam <friam-bounces at redfish.com> On Behalf Of ? glen
> Sent: Sunday, November 28, 2021 3:38 PM
> To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com>
> Subject: Re: [FRIAM] The epiphenomenality relation
>
> Right, high dimension. More important than the matrix being large is that
> it has non-zero cross terms.
>
> On November 28, 2021 8:42:37 AM PST, Marcus Daniels <marcus at snoutfarm.com>
> wrote:
> >The operators are large (in the sense of a matrix) whether or not they
> are intended to be?
> >
> >> On Nov 28, 2021, at 6:20 AM, ⛧ glen <gepropella at gmail.com> wrote:
> >>
> >> Any of the evolutionary operators across scales, from energy exchange
> at the finest to ecosystem reengineering at the coarsest.
> >>
> >>> On November 27, 2021 7:33:15 AM PST, Marcus Daniels <
> marcus at snoutfarm.com> wrote:
> >>> I’ve heard these words from you Glen, but I have no idea what these
> loops are or what you might be talking about.
> >>>
> --
> glen ⛧
>
>
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