PICS
Projecting Images of Complex Systems

PF Henshaw
contact ed:
7/07/07... 08/29/07.. 05/08/09

This page has notes on my PICS model for exploring complex systems as a learning process with a network structure, applying to all forms of physical systems and events.   Prepared for the July 7-12 2007 SASO Conference.    

One application is to use it to isolate 'cybernetic body parts' from natural systems,... to study what they were embedded in and how to fit them back in!

After thoughts & Some 'sidebar comments' on the conference below

 


Some after thoughts...'

08/29/07, 07/13/08 - The two best new ideas I heard at SASO were a) adding to the definition of a 'system' as 'a thing in a box' a new definition, that of  'complex system' as 'a learning thing in a box', and b) the idea that Self-organization & Self-adaption is the two step process for intentional complex systems design, beginning with emergence and leading to integration in the larger complex environment.   ...Now if I could just persuade people that complex natural systems are a gold mines for 'amorphous computing' structures of just this sort...!   These new concepts linking the thinking I heard at NetSci and SASO seem to connect particularly well with my natural systems developmental model that I use for forecasting and backcasting developmental instabilities, giving me so many good questions about the physical organizational processes going on around us:

0 1 2 3  4 56 
described in:
Physics of Happening, Chapters of a whole event
and A bump on a Curve Notepad for Life's Great Transformative Changes 

 

 

08/29/07 ,07/13/08 - My best new concept is that it's the 'hives' of bounded uniform connection that form the "cybernetic system body parts" that produce their animation.  If I find interest I'll find a way to present what I have developed on it in various conversations.   I found it looking for how to correctly draw network maps as being embedded in their underlying natural systems.   I think it turns out that every 'node' contains a 'hive' of activity on another scale of description, and what name you give the parts, 'nodes' or 'hives', depends on which direction you are looking, up or down, in the organizational hierarchy of the whole complex system.   How network diagrams are drawn also hides the 'complete loops and circuits' of the network itself.   Emphasizing the hierarchy of connections distracts from the 'democratic' function of accumulative distributed process that is the real vital collective working of complex natural systems.  Both these ideas came up in puzzling over the difference between 5 degrees of separation (people) and 19 (web pages), means that the web must be grouped into many highly remote high dimensional environments, separate 'hives' of ideas, each of which works as an independent whole world unto itself.

07/07/23  - Cybernetic Body Part List: Starting with 'homing devices', one could begin a list of natural system cybernetic 'body parts' of engineering interest.   Any 'rule' of behavior or 'cell' of relationships could be looked at this way, a behavioral element to study separately as well as for how it is imbedded in the larger systems from which it was extracted.

  Complex System      
'Body Parts' Behavior Function to Emulate Key Observation
  Homing Devices
- tapping natural systems
     
 


 

  • Search

-behavioral recognition, not global probabilistic model, locating a thread -connecting w/ natural feature
-locking in on path of discovery, either of thing or type of event
-dog's constant sniffing
  Mutual Homing Devices
- engaging natural systems
     
 


 

  • Handshake

-mutual behavioral recognition -simultaneous connection between natural agents -preparation, readiness
  Complex Networks
-
Natural System
     
 
  • Scales of Integration
- integration of complex system scales acting as a whole.

- interior link community, neighborhood link community, remote connections,

- Learning process

- emergence and integration

- Remote links give the larger net it 'connectivity'
- Local links  it's creativity in combining with ...
- Internal links from which the individuals emerge

- all following  developmental learning paths identifiable in their measures.

Some things are easier to do than explain, like a handshake.   Engaging with rather than controlling natural systems can be an enormous simplification!    If anyone has other things to add to the list of things we're trying to emulate, please contribute!



- Some 'sidebar comments'
07/07/22 - Malicious Agents - A number of the papers were on defending systems from 'attack', or generally how the inputs could seriously 'misbehave' and still not screw up the control schemes, often discussed in terms of 'malicious agent' concepts.   The real net has plenty real examples!     I also found people receptive to considering not only what a malicious person would think of doing to defeat someone else's operating plan, but also how the 'malicious creativity' of emergent natural systems doing unexpected systemic things.  Maybe that's one way to characterize some of the natural system phenomena that are inevitably out-of-control, but that autonomous systems need to engage with anyway.

07/19/07 - Jay Sussman's 'Body Forms' - There seems a strong similarity between Jay's idea of studying the cybernetic body forms of traditional engineering circuit design, and watching the development of natural cybernetic body form elements as they evolve in complex natural systems.   If we could learn to read them, the design of nature's organizational 'cells' would provide a storehouse of new kinds of parts to play with, along with a map to how they hook up with the larger complex systems in which they are embedded.   Any mapped whole network of relationships from any real complex system can serve that purpose, for example.  Once extracted it can be simplified and then reconsidered as a part of a larger complex whole, helping to expose the interface with the larger system.   Is there a catch?   Yes, what you'll find are not 'control circuits' mainly.    They're something else, and don't work the same way, and that may be the best reason to look!

- Links to the Softside... SASO was more about the theory of control systems, and a friend sent me some links on how the software people are now looking at the same transition to flowing organization from static structure.    The first link is to an overview article by Norvig & Cohen's about Adaptive Software, and using the term a little differently.   It's of a 2001 perspective and does not distinguish between a software's own 'self-' adaptive and the 'user-' adaptive and the 'designer-' adaptive modes of that.   They also seem poised to realize that turning software agents around to use them for watching the behavior of the complex natural systems in which we operate, is a way to see the complexity of the larger systems and 'see' what's coming which is neat.

- re: http://norvig.com/adapaper-pcai.html - a nice overview understanding of complex software design environs, though note interesting error, in giving the date as 'today'  as if 'today' would still be that when it's read tomorrow...:-) some advertisement angle, but great overview perspective and links
- re: http://paris.utdallas.edu/iwsc07/ - a July,24 07 conference in China discussing many of the same things

7/12/07Rigid structures to Fluid organization  In a new subject here are bound to be many kinds of surprises.   One of the ones I've been talking about is how the rigid structures we find in fluid organization are very useful as learning tools for exploring the fluid worlds around them.   One of the related nice new observations that several people at SASO were making was about the relation between Self-organization and Self-adaptation as distinct processes.   There may be additional meanings to the terms as people are using them, but one prominent one I see is that they capture most of what one would mean by 'emergence of new order' & 'adaptation of and to the larger order', or perhaps just invention and integration.   These are time sequenced events, A then B.  I've been watching the A part in some detail and it really helps to have the B part in focus too.   As I see it the first is a growth process involving a non-linear accumulation of new relationships and the latter a meandering negotiation of more often successively smaller emergence events, perhaps distributed throughout the whole interaction medium.   As with anything that occurs in time, there are limiting response development times.

7/11/07 - An engineering/observation exercise
Mining natural systems for design ideas.  A typical natural system observation exercise is to just watch a traffic intersection for at least a steady half hour at a time, but mostly just as you'd watch a landscape or ocean waves, both passively and attentively so your thinking about how the negotiations are taking place are not erased by your thinking about a particular network relationships you notice.  When you see a pattern follow it a little to see what it seems connected to, but then go right back to simply passively observing.   The mechanics of intelligent complex systems observation is not unlike meditation in the one part of being careful to be receptive to what's there, so that you can then explore it.   The intersection of Mass Ave and Memorial drive at the bridge during the AM or PM shift is a good one, but so would any other intersection with several different kinds of traffic that needs to negotiate the intersection differently.  

The idea, which might actually take a few tries, is to observe the several scales of interactions working together, and then notice where things follow paths of easiest steering, and try to imagine what sort of 'Lagrange Points' (perhaps actually or metaphorically) they're using for it.  That'll not be easy, of course, but a little experimentation may reinforce the conceptual possibility of doing so.   The main purpose of the exercise is to extend one's own perceptual reach into the complexity of natural system design, using any simple net of relations you start with as a guiding question, and producing better questions about it.     In canoeing the steering, for example, is all about making your small correction at the perfect steering points as they approach, avoiding oversteering with the least effort, I think, though a good engineer might read it differently.  A canoeing control stroke has a critical timing, attack, duration and decay, with changing power and direction, executed with a nearly effortless single motion.  It's much easier to do than to explain, but observing extends how intelligently one can use natural system ideas you can control, and negotiate with those your observations show you need to respect.   

7/10/07 - Desychronization  A nice new result for natural system exploration from the SASO papers turned up in the paper by Ankit Patel on resource allocation and the desychronization of flows as a strategy for self-regulation.   That's also a measurable property of nature and it seems very likely that the onset of desychronization in natural flows would often indicate the emergence of a collective behavior of cooperation in a physical world system.  Used as a measure that could locate the physical process of that emergence in the physical context, desychronization indicating the smoothing of flow, adds to the measures that can be used that way, similar to the development of derivative continuity in sequences of measures (disappearance of step noise), and the markers of growth phases indicating the explorable beginnings and endings of the emerging networks of relationships themselves.   Each of these can be used to locate instances of the physical system models of the behavior of the simple feedback nets that digital models are based on, and the physical model then investigated for the population of other feedbacks (enabling and disabling , arousal and lubricating, etc. ) deeper in the complex natural system context responsible for engaging the behavior of the simple networks we can model.