But isn't the shape of our varying ability to fit our models a direct image of 'nature itself', in fact, and our main mistake to discard them all but the 'best' one and so loose the shape of what they are all unable to describe? That's why I like to go back and forth studying alternate models for their discrepancies and their fit, using models as learning tools rather than answers. I think the notable thing you find that way is independent whole systems...i
Phil Sent from my Verizon Wireless BlackBerry -----Original Message----- From: "Glen E. P. Ropella" <[hidden email]> Date: Tue, 27 Nov 2007 07:01:38 To:The Friday Morning Applied Complexity Coffee Group <friam at redfish.com> Subject: Re: [FRIAM] FRIAM and causality -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 sy at synapse9.com on 11/27/2007 06:05 AM: > Nearly all you say fits closely with my approach, except the word > 'any' in the following quote. > > "To the contrary, I assume every actual system has an inherent > 'hierarchicability' (following the word 'extensibility') with respect > to any observer(s). In other words, a system can be projected onto > any ordering, depending on the attributes imputed by the projection." > > > If you insert 'an' there instead, the combination of the possible and > discovered orderings will reveal an image of other things. Good point. I was just thinking this over as I read Esfeld's review (thanks G?nther). On the one hand, the system can be projected onto _any_ ordering. But, as I think you're pointing out, some orderings will be a close fit ("natural") and others will be like putting a square peg into a round hole. So, some projections will work better than others. (I have to qualify that with "for a particular purpose" however. ;-) And the projections that work best provide a better measure of the system than others (for that particular purpose). The part of Esfeld's review that got me thinking this way was the idea that nonseparability and holism do not necessarily imply that we cannot understand a system. Similarly, the "hierarchicability" concept I used is not intended to imply that all imputations of hierarchy/order are equally [use|meaning]ful. Another thought that keeps ricocheting around in my head is the problem of my use of the word "ignorance". My usage of the word is often challenged; but, I keep using it anyway. [grin] I'm stubborn. But, by "ignorance", I don't _merely_ mean "lack of knowledge" of a given person or a set of people. It also means the act or possibility of some influence (element of cause) being negligible ... or marginalized. This semantic hair splitting comes up in the Esfeld review, too, when he says: "In none of these interpretations is any link from nonseparability and holism to our ignorance of what nature is in itself." If I use my definition of "ignorance", then nonseparability and holism _do_ imply that a form of ignorance (i.e. the marginalization of particular influences) always obtains. Because we cannot know or understand _everything_... because our models, by definition, cannot ever be completely accurate, we _must_ consider some parts negligible. (And by "we", I mean "any bounded entity that uses transduction across that boundary to understand its environment" ... e.g. trees, ants, cells, humans, etc.) In the case of complex cause, we can make multiple projections into various orderings and select the ones that work best (for a particular purpose). By such selection we can _approach_ an accurate understanding of the system; but it is a limit process. - -- glen e. p. ropella, 971-219-3846, http://tempusdictum.com There is nothing as permanent as a temporary government program. -- Milton Friedman -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.6 (GNU/Linux) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org iD8DBQFHTDFSZeB+vOTnLkoRAkIkAJ9mrSUXXLc6xlRU9Z/Mi7IyDT6kWQCg40pi AQ+O5hTPgb73a/9/ZrKBfio= =WfS3 -----END PGP SIGNATURE----- ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
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