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Date: Thu, 27 Mar 2003 02:20:22 -0600
From: Gerry Gleason <gerry@geraldgleason.com>
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To: georgedafermos@discover.org
Cc: discuss@ggpl.org
Subject: Re: Osaka Organis design/ Waking the Planet
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George Dafermos wrote:

>Hello evryone,
>
>I followed the discussion between Gerry and Carl and no doubt the  propo=
sal looks much more coherent now.=20
>
>Regarding the first paragraph, in the now altered by Gerry proposal, I a=
m  perfectly happy that it makes more sense, although it begs certain  qu=
estions about how renumeration will take shape (how? will it be through  =
fees, rents, loyalties, stock options or salaries and wages) but then I  =
guess this can be dismissed for the time being. I 'll go back into it  la=
ter below.
>
>I really like the second paragraph, especially as a means to introduce  =
and link together complexity theory, computational-mathematical analysis,=
  and the basic thesis in Wolfram's book that very complex properties  de=
rive from very simple rules. What i got out of the second paragraph is  t=
hat (provided with the right tools) it's now feasible to understand how  =
interdependencies among otherwise seemingly unrelated systems occur and  =
this is undoubtly the firt step towards a more thorough understanding of =
 how to design social structures and institutions that are capable of  re=
sponding to complex environmental pressures.=20
>
Thanks, I though that it came out pretty well. I must confess that I=20
haven't read as much of Wolfram as I would like, but I did skim through=20
large sections of it. The truth is that he isn't the only person to make =

some of the theoretical leaps involved here, although I think he puts=20
more of it together in one place. It's daunting just to read all of it=20
much less contemplate writing it, and there are certainly some aspects=20
that become compelling just because they keep appearing over and over.

>
>However, I can't really connect the last few words=20
>"and therefore the insolvability of the general halting problem is  exac=
tly the equivalent of Goedel's incompleteness theorem from math" to  the =
rest of the paragraph. Maybe my social sciences background is to be  blam=
ed for this. I know what the Halting Problem conveys but still I  can't m=
ake any sense. So, please give me some help on this.
>
Although I haven't had time to read through that chapter, the key=20
theoretical move is the "principle of computational equivalence".=20
Mathematicians use the term "homomorphic" to describe when you can make=20
an exact one to one mapping between two axiomatic systems, then you can=20
automatically know that any result proved in one system is also true in=20
the other. In the bulk of the book, he is examining one formal system=20
after another, and showing the chaos that is present. He is saying that=20
the chaos is there because there is computation there, and wherever=20
there is computation there is a fundamental irreducability.

Maybe the point I'm making is too cryptic to be useful here, but it=20
really struck me that he is casting a much wider net with this than=20
Turing or Goedel are likely to have comptemplated (although such genius=20
may well have done, but not proved). The first step in these theoretical =

frameworks is to establish through homomorphism that all the systems of=20
interest are equivalent, so that further results can be taken to apply=20
to the entire class (Turing machine equivalent logical machines, or=20
mathematical systems equivalent to basic arithmetic for Goedel). Douglas =

Hoffsatter's book Goedel, Escher, Bach, and Eternal Golden Braid is a=20
wonderful way to learn about how this works even if you aren't=20
particularly mathematical.

Now, with the wider net being cast, I'm suggesting that these two=20
results are the same result, that the two classes (and many others=20
including physical and biological systems) are equivalent because it's=20
all computation at the bottom (it's turtles all the way down ;-).=20
Really, how different is to to ask whether an arbitrary computer program =

will terminate vs. asking whether an arbitrary mathematical statement=20
can be proved. Although the two proofs are different, the result is the=20
same one. Even more mind-bending is that Goedel is saying that we can't=20
prove that we might not uncover a contradictory result this way (i.e.=20
one of these problems is solvable but the other isn't).

Hope this isn't just more confusing.

WRT

>
>Proceeeding to the third paragraph, I'm not sure whether talks of divine=
  intervention as a higher state of distributed self-organisation will go=
  well with a non - Western audience. But this is up to Carl to decide.  =
Furthermore, I get the impression that there is a slight confusion  betwe=
eb chaos and complexity theory, without implying that I know better  than=
 Gerry. I'm similarly attracted by those both fascinating fields and  thr=
ough my own research have come to acquire some pretty basic  understandin=
g of them.=20
>
No, not divine intervention, but only the presence of the divine. This=20
is where I am probably going beyond anything that Wolfram would consider =

to be well established, but I think the reasoning is sound. I'm saying,=20
ok, so it's all computation, therefore computation is the basis for all=20
the complexities we see. I have a phrase borrowed from Robert Anton=20
Wilson (the preface to the second edition of Cosmic Triggers), "I don't=20
believe in anything". Belief is always subject to revision and error,=20
but I still have an important place for faith. What Goedel proved is=20
that in spite of what die-hard positivists would claim, even=20
mathematicians need faith that their whole enterprise won't fall down=20
like a house of cards. Could the Absolute ever really be so fickle to=20
have such horrors embedded deeply within the finely woven tapestry of=20
mathematics where the pulling of a single thread would unravel it all?

Then I'm also turning the arguments on their heads and saying that when=20
we see high level emergent behaviors in physical and biological systems, =

we can assume that the same behaviors can be exhibited by the artificial =

systems as well. This goes all the way up to human social systems and=20
languages, hence Wolfram's suggestion that AI systems will eventually=20
become possible (but perhaps they must be discovered and/or evolved, not =

designed and implemented in any traditional sense).

I thought that it was necessary to make this move explicite even if it=20
is more of a conjecture than a firmly established result because we are=20
extending the idea to organizational structures. We still have a=20
problem, though, because there is an enormous abyss between the formal=20
systems at the base level and the complexity that we see in the natural=20
world, much less the human social systems we wish to address. We are=20
placing our faith in the idea that the structures that are naturally=20
emerging in OS development are deeply connected to the ideas from=20
Wolfram. One way to look at this would be to suggest that the highly=20
unnatural structures of the "architectures of control" are something=20
like the non-chaotic rules that go all black of all white or exhibit=20
very simple oscilations.

The next step is to address what is really meant by "simulation" in the=20
context of the VNOs and MicroCorps of the Organis proposal. For me, this =

has to be carried out at the level of the systems being simulated. So=20
for organizational matters, we would use the tools taught to all MBAs,=20
but with an ethical twist that completely respects the integrity and=20
humanity of the people making up the organizations.

>
>I think we can utilise some features common to complex systems,  particu=
larly the presence of positive feedback loops, the inderdependence  among=
 the various components that make up the systems, the openness to  extern=
al environmental forces, and their synergic and nonlinear  behaviour. I f=
eel pretty confident in putting a small paragraph together  in order to i=
llustrate how Organis, networks and hierarchies are  connected. Or we cou=
ld quote bits and pieces of the work of Yaneer  Bar-Yam, W.Brian Arthur i=
n case a quote works best. But that's up to you  Carl. You know the audie=
nce. The beasic premise is that higher complexity  is making a good many =
of current social and economic hierarchies  unworkable (unable to respond=
 with the required speed and flexibility),  which is basically what the "=
Law of Requisite Variety" infers. In short,  academics refer to the Law o=
f Requisite Variety ("design for a brain",  Ashby, W.R., 1952) which indi=
cates that the complexity of the environment  must be reflected in the co=
mposition of the firm. Anyway, this greater  complexity has inevitably re=
sulted in a worldwide shift towards  co-operative networks and weblike ar=
rangements and such examples abound.  It's no wonder why these days incre=
asingly more industries are  experimenting with hollywood-style forms of =
governance and structural  organisation. As a consequence of this larger =
re-structuring of networks  of co-operative units, further complexity cre=
eps in to further overwhelm  centralised processes. In all, complexity ca=
n only be dealt with  complexity.
>
I'm not as well read in the management area as you are (a benefit of=20
collaboration, blending of diverse streams of knowledge), but I think=20
you are going in exactly the right direction here. You can't create a=20
structure more complex that a single mind can understand under the=20
architectures of control, but if you don't try to control everything and =

act more like a gardener by creating the conditions under which the=20
plants you select can thrive and grow. This analogy is also limited, but =

you get the idea.

>
>On the other hand, Chaos which is an equally intriguing field, is  gover=
ned by the basic processes of cause-and-effect. This is the primary  diff=
erence between the properties that chaotic and complex systems  exhibit. =
Complex systems can be chaotic as vice versa too. But this need  not mean=
 that all chaotic systems are comlex or the opposite. I would  suggest we=
 keep it to the complexity, whether employing metaphors or not.  It's eas=
ier to link complexity theory to networks and business/social  ecosystems=
 rather than chaos.=20
>  =20
>
Yes, but from what I've read in the past, and what I have gleaned so far =

from Wolfram, complexity theory and chaos are deeply connected, perhaps=20
two sides of the same coin. Systems that lose their chaotic aspect are=20
dead. On the other hand, you are completely correct about it being=20
easier to create the links we need with complexity theory, just don't=20
forget the importance of the deeper connections.

>
>I reckon i can provide some "numeric guidance regarding the size of the =
 cells" in the fifth paragraph. There is indeed a growing body of  scient=
ific literature suggesting that numbers play a role. Interestingly,  the =
numbers of 15 and 150 are the most prominent ones. Malcolm Gladwell  ?s ?=
The Tipping Point? (pages 169-192) is perhaps the best place to start  an=
 exploration of the magic number of 150. In short, the number one  hundre=
d and fifty is particularly important because, oddly enough, going  above=
 one hundred and fifty members in any given group seems to result in  com=
munication bottlenecks and breakdowns of group processes.  Communication =
breakdowns aside, ?the figure of one hundred and fifty  seems to represen=
t the maximum number of individuals with whom we can  have a genuinely so=
cial relationship, the kind of relationship that goes  with knowing who t=
hey are and how they relate to us? (Gladwell 2001:179).  There is indeed =
a growing body of knowledge supporting that when a group  of people ? reg=
ardless of what binds them together, may that be work,  leisure, religion=
, or politics - grows beyond that number, some  unintended consequences s=
uch as alienation and distancing among group  members suddenly crave in t=
o overwhelm group processes and devastate the  social dynamics that form =
the nucleus of group cohesion and co-operation.  More specifically, if a =
factory unit crosses the one hundred and fifty  workers threshold, the sa=
me model of (informal) organisation that was so  far capable of sustainin=
g the collaboration spirit and communication flow  among fellow workers, =
is almost certain to falter. As if by magic, the  rule of one hundred and=
 fifty seems to govern communities and groups that  are functional, produ=
ctive, and ultimately successful in whatever it is  they are doing withou=
t requiring formal hierarchies to co-ordinate their  interactions. So, it=
 seems reasonable that we don't need formal  management guidelines and la=
rge hierarchies if we keep cells engaging  less that 150 people.=20
>
>The number of 15, in a similar way, is based on the assumption that we  =
humans have a circle of relationships (based on strong ties) to which  we=
're intimately connected. For example, there are 15 people whose loss  wo=
uld devastate me and there're 15 with whom I can have a genuinely  creati=
ve co-operation at any given time. So, if there has to be some sort  of a=
n organisational chart, the first level is made up of a network of  small=
, tightly-knit work-teams each consisting of no more than 15  members, th=
e second level is then a network of units of no more than 150  people and=
 taken together they form the community of developers  (community of prac=
tice). The only level above the active commmunity is  the surrounding com=
munity (this is a clearly a community of  interest/political network whic=
h is affected by the social and economic  outcome). Our role is to co-ord=
inate the smooth flow of information up  and down the levels and among th=
e networks and make sure all stakeholders  are satisfied by means of comm=
unicating their needs to each other and  ensuring they can all feed into =
a larger pool of resources (ie. pointing  them to a piece of software tha=
t's already written or providing legal  guidance).
>=20
>
Very interesting. I wonder if you could find some similar relatonships=20
in say, nerve cell grouping in brains and similar. I have some partially =

formed thoughts about how the small groups would be densely connected=20
internally, but the external connections to larger groupings might be=20
"function specific" so that any individual would have a scope < 150 but=20
the small group as a whole would be connected to a much larger network.

If the larger community (surrounding?) is similarly organized, I can see =

the scope being very wide indeed, but more in terms of replicating (with =

variation) the 15 -> 150 units in physically seperated spheres.

Gerry

>  =20
>
>I also have some comments to make with respect to more practical  underp=
innings of the Organis but this will have to wait for a few hours.  You a=
lso might be interested in knowing that I intend to make a  presentation =
at Harvard at the end of May at the OSCOM conference and I  would surely =
welcome any recommendations. My presentation discusses the  requirement f=
or a license such as the GGPL and analyses how such a  strategy can be se=
t into motion. You can have a look at the admittedly  rough proposal at=20
>http://www.oscom.org/Conferences/Cambridge/Proposals/dafermos_open_codin=
g _innovation.html
>
>
>George   =20
>
>



